Every entry names the manual process it replaces, what we build instead, and the outcome you should expect. Search it, filter it, and send us the ones that describe your week.
Today: Half of all tickets are 'where is my order', answered manually by copy-pasting tracking links.
We build: An agent connected to your store and carrier APIs that answers in-chat and by email, with real tracking data and proactive delay notices.
50-70% of support volume deflected; first response drops from hours to seconds.
Today: Return requests arrive in free text and get manually judged against policy, inconsistently.
We build: AI reads the request, checks order date, item condition and policy, auto-approves clean cases and escalates edge cases with a recommendation.
70% of returns auto-processed, policy applied consistently, fraud patterns flagged.
Today: Every new SKU needs titles, bullets, meta descriptions and alt text, written by hand.
We build: A pipeline that takes supplier data plus product photos and drafts channel-specific listings in your brand voice, queued for one-click review.
Catalog launches go from days to hours; 10x more long-tail keyword coverage.
Today: Thousands of reviews and support chats hold the reason for churn, but nobody reads them.
We build: Weekly clustering of reviews, tickets and returns into themes with severity, linked back to SKU and batch.
Quality issues caught weeks earlier; roadmap and PDP copy driven by real objections.
Today: Generic 'you left something behind' emails with a blanket discount that erodes margin.
We build: Per-customer message generation using browsing, past orders and objection history, with discount logic tied to predicted margin.
15-30% lift in recovery revenue with lower average discount.
Today: Stockouts and late POs are discovered when a customer complains.
We build: An agent that watches inventory velocity, supplier confirmations and inbound shipments, then raises exceptions with a suggested action.
Stockouts caught days earlier; buyer time shifted from checking to deciding.
Today: Sourcing creators, chasing deliverables and tracking usage rights is a spreadsheet job.
We build: Automated creator sourcing, personalised outreach, contract generation and deliverable chasing with a live status board.
3-5x more creators managed per marketer.
Today: Ad spend or marketplace performance breaks quietly on a weekend.
We build: Daily anomaly detection across ROAS, CPA, buy-box and listing health with plain-English explanations of what changed.
Wasted spend caught within a day instead of a fortnight.
Today: Calls go unanswered at peak hours and after close, so bookings leak to whoever picks up.
We build: A voice and WhatsApp agent that books, reschedules and cancels directly in your practice management system, with a human handoff for anything clinical.
After-hours bookings captured; call abandonment drops sharply.
Today: One flat SMS reminder for everyone, and empty chairs anyway.
We build: A model that scores no-show risk per booking and escalates channel and timing for the risky ones, with an automatic waitlist backfill.
20-40% no-show reduction and near-instant slot backfill.
Today: Paper or PDF intake forms retyped into the EMR by staff.
We build: Conversational intake that structures answers, flags red-flag responses and writes a clean pre-visit summary for the clinician.
Retyping eliminated; clinicians start visits already briefed.
Today: Staff manually check coverage and rekey claim data, then rework denials.
We build: Automated eligibility checks, claim assembly with code suggestions, and a denial-reason classifier that drafts appeals.
Denial rework time cut sharply; faster reimbursement cycles.
Today: Clinicians write notes after hours, driving burnout.
We build: Ambient or dictated note drafting into your template structure, always reviewed and signed by the clinician.
Documentation time per encounter typically halved.
Today: Patients due for follow-up are never contacted because nobody has time to run the list.
We build: Automated recall lists with personalised, compliant outreach and booking links, tracked to conversion.
Dormant patient revenue recovered every month.
Today: Referrals arrive by fax, email and portal in a dozen formats.
We build: Ingestion and extraction into one queue with urgency classification and automatic acknowledgement to the referrer.
Referral leakage reduced; turnaround measured instead of guessed.
Today: Staff interrupt seniors to ask what the protocol is.
We build: An internal assistant grounded strictly in your own SOPs, with citations back to the source document.
Faster onboarding, fewer interruptions, consistent answers.
Today: Portal and ad leads sit unanswered; the first responder usually wins the deal.
We build: An agent that replies within seconds on WhatsApp, SMS or chat, qualifies budget, timeline and financing, and books a viewing straight into the agent calendar.
Response time in seconds, qualified viewings up several fold.
Today: Writing descriptions, social captions and brochure copy for every listing.
We build: Photos and facts in, compliant listing copy, floor-plan captions, social posts and email blasts out, in one brand voice.
Listing go-live time cut from hours to minutes.
Today: Maintenance requests come by phone and text and get manually dispatched.
We build: An intake agent that classifies urgency, asks for photos, applies your escalation matrix and dispatches the right contractor with a tracked ticket.
Emergency response consistent; property managers stop being switchboards.
Today: Thousands of old enquiries sit in the CRM, never touched again.
We build: Segmented, personalised reactivation campaigns referencing what each contact originally wanted, with live conversation handling on replies.
Pipeline created from contacts you already paid for.
Today: Preparing a CMA or valuation pack takes an agent hours per appraisal.
We build: Automatic comparables pull, pricing rationale drafting and a branded pack produced from your template.
Appraisal prep down to minutes, more listing presentations per week.
Today: Reviewing leases and vendor contracts clause by clause.
We build: Clause extraction against your playbook, deviation flagging and a plain-English summary of risk.
Review time cut by 60-80%, with a consistent standard applied.
Today: Chasing feedback after viewings and writing weekly vendor updates.
We build: Automated feedback collection after each viewing, summarised into a vendor-ready weekly report with price guidance.
Vendors updated reliably; awkward price conversations backed by evidence.
Today: Manual nightly pricing and repetitive guest questions across platforms.
We build: Demand-aware pricing suggestions plus a multi-channel guest agent that handles check-in, house rules and local recommendations.
Higher occupancy at better rates, guest replies in seconds.
Today: Every contract is read clause by clause, and standards drift between reviewers.
We build: Clause extraction and comparison against your fallback positions, with deviations, missing clauses and risk ranking presented for a lawyer to accept or reject.
First-pass review time cut by 60-80% with a consistent standard.
Today: Intake calls become unstructured notes that someone retypes into the matter system.
We build: A guided intake agent that captures the facts, runs a conflicts pre-check against your database and drafts the engagement letter.
Matters opened same-day; no lost intake detail.
Today: Tens of thousands of documents reviewed for relevance and privilege by hand.
We build: Relevance and privilege classification with confidence scores, prioritised review queues and full audit trail of every call.
Review hours concentrated on the 10% of documents that matter.
Today: Research memos start from a blank page every time.
We build: A grounded research assistant that pulls from your own precedent bank and approved sources, drafts a memo and cites every proposition.
Memos drafted in an hour instead of a day, then verified by a lawyer.
Today: Clients chase for updates; partners write the same email fifty times.
We build: Automated matter-status summaries generated from time entries, filings and emails, sent on a schedule after a partner approves.
Client satisfaction up, chasing emails gone.
Today: Unbilled work is lost because nobody logs time as they go.
We build: Draft time entries reconstructed from calendar, email and document activity, presented for edit and approval.
Recovered billable hours that were previously written off.
Today: Regulatory updates are tracked manually across many sources.
We build: Continuous monitoring of relevant regulators, with change summaries mapped to the internal policies each change affects.
Nothing missed; impact analysis starts pre-written.
Today: The best precedent already exists somewhere in the DMS and nobody can find it.
We build: A search and answer layer over your document management system, respecting matter-level permissions.
Precedent found in seconds; juniors ramp far faster.
Today: Calls during peak hours go to voicemail and never convert.
We build: A natural-sounding voice agent that takes reservations, answers menu, parking and opening-hours questions, and escalates anything unusual to staff.
Missed-call revenue recovered; staff stop juggling handset and floor.
Today: Happy customers never leave reviews, and bad reviews sit unanswered.
We build: Timed post-visit requests routed by sentiment, with drafted, brand-voice responses to every public review for one-click approval.
Review volume and rating both climb; response time in hours not weeks.
Today: Staffing and prep are guesswork, so you overspend or run out.
We build: Forecasts from historical covers, weather, local events and bookings, converted into a suggested rota and prep list.
Labour cost and food waste both trimmed by single-digit percentage points.
Today: Enquiries arrive on Instagram, WhatsApp, email and the website, each checked by someone different.
We build: One inbox with an agent that answers common questions instantly and routes the rest with full context.
Response time collapses; nothing falls between channels.
Today: Marketing gets done when someone remembers.
We build: A weekly content pipeline generating posts, stories and email from your calendar, stock and events, scheduled after approval.
Consistent presence without hiring an agency.
Today: Delivery notes and invoices are keyed into accounting by hand.
We build: Photograph or forward the invoice, and line-level data is extracted, price-checked against the last order and pushed to accounting.
Bookkeeping hours cut; price creep detected automatically.
Today: Late cancellations leave gaps nobody has time to refill.
We build: Instant waitlist outreach in priority order across SMS and WhatsApp until the slot is claimed.
A meaningful share of cancelled slots refilled the same day.
Today: Regulars quietly stop coming and nobody notices.
We build: Lapse detection per customer with a personalised, well-timed offer instead of a blanket discount blast.
Retention lifted at lower promotional cost.
Today: Screening is done on gut feel in whatever order CVs arrive.
We build: Every application scored against the same explicit criteria, with evidence quoted from the CV and a shortlist ranked for a recruiter to confirm.
Whole applicant pool assessed instead of the first forty.
Today: Phone screens eat recruiter days and get scheduled a week out.
We build: An async chat or voice screen candidates complete on their own time, producing a structured summary and recommendation.
Screening capacity multiplied; candidates progress within a day.
Today: Coordinating four calendars over email takes days per candidate.
We build: An agent that negotiates times with candidate and panel, books, reschedules and chases confirmations.
Scheduling reduced from days of email to minutes.
Today: Templated InMails get ignored, and manual personalisation does not scale.
We build: Profile research plus outreach written to each candidate's actual background, with reply handling and interest qualification.
Response rates typically double against templated outreach.
Today: JDs are copy-pasted from ten-year-old templates.
We build: Generation from the hiring manager's intake conversation, tuned for inclusivity and channel, with variants per platform.
Better applicant quality from clearer, more specific ads.
Today: Thousands of silver-medal candidates sit in the ATS unused.
We build: Automatic matching of new roles against past applicants and re-engagement with the context of their previous application.
Placements sourced at near-zero acquisition cost.
Today: Chasing referees and right-to-work documents by email.
We build: Automated reference collection, document verification and expiry tracking with escalation when something is missing.
Compliance packs completed faster with a clean audit trail.
Today: New starters need accounts, kit, training and paperwork coordinated across five teams.
We build: A workflow that fires all provisioning tasks, chases owners and answers the new starter's questions from your handbook.
Day-one readiness becomes the norm rather than the exception.
Today: Invoices arrive by email as PDFs and are keyed in line by line.
We build: Automatic extraction, PO and receipt matching, coding suggestions, duplicate detection and approval routing by amount and department.
Most invoices flow straight through; humans handle exceptions only.
Today: Chasing overdue invoices is nobody's favourite job, so it slips.
We build: Escalating, relationship-aware chase sequences with payment links, dispute detection and automatic handoff when a customer replies with a problem.
DSO improvements of one to three weeks are common.
Today: Expense claims are approved by managers who never read the policy.
We build: Every claim checked against policy with receipt verification and outlier detection, flagging only what actually breaches.
Policy applied consistently; approver time nearly eliminated.
Today: Unmatched transactions consume the first three days of close.
We build: Match suggestions with confidence scores and learned rules from past decisions, leaving only genuinely ambiguous items.
Reconciliation effort reduced substantially each month.
Today: The numbers are ready on day five, the commentary lands on day twelve.
We build: Variance analysis and draft narrative generated from your ledger and budget, in your reporting format, for the controller to edit.
Reporting pack drafted the day the ledger closes.
Today: New clients need KYC, engagement letters, software access and a data request list.
We build: One orchestrated flow: identity checks, letter generation, portal setup and an automated chase for missing records.
Onboarding cycle cut from weeks to days.
Today: Bookkeepers categorise thousands of low-value transactions manually.
We build: Client-specific categorisation learned from history, with confidence thresholds and a review queue for the unclear.
The bulk of routine coding handled automatically.
Today: Audit requests trigger a scavenger hunt across drives and inboxes.
We build: An assistant that locates, assembles and indexes supporting evidence against each audit request, flagging gaps early.
Audit prep time cut sharply, with fewer late surprises.
Today: Broker submissions arrive as varied spreadsheets and PDFs, rekeyed by underwriting assistants.
We build: Automatic ingestion, extraction into your schema, completeness checking and an auto-reply requesting missing information.
Underwriters see clean, comparable submissions on day one.
Today: Claims are triaged in the order they arrive, not by severity.
We build: Classification by severity, complexity and fraud signal, with routing to the right adjuster and an instant acknowledgement to the claimant.
Serious claims reach the right desk in minutes.
Today: Adjusters read repair estimates, medical reports and invoices line by line.
We build: Extraction and cross-checking against policy limits and coverage, surfacing inconsistencies for adjuster judgement.
Review cycles shortened; leakage reduced.
Today: Renewals are worked from a spreadsheet and some clients are contacted late.
We build: Automatic renewal pipeline with market comparison packs drafted per client and multi-channel outreach on a schedule.
Retention protected; brokers spend time on negotiation, not admin.
Today: Staff read long wordings to answer routine coverage questions.
We build: An assistant grounded in your policy wordings and endorsements that answers with clause-level citations.
Answers in seconds with the source attached.
Today: Complaint logging and root-cause coding are inconsistent.
We build: Automatic detection of complaints across channels, structured logging, root-cause classification and regulatory report drafting.
Regulatory deadlines met with an evidenced trail.
Today: Fraud is spotted only when an adjuster has a hunch.
We build: Cross-claim pattern analysis over networks, documents and text, escalating scored cases to SIU with the reasoning attached.
Suspicious clusters surfaced that manual review would miss.
Today: Producing a client-facing comparison of five markets is a manual formatting job.
We build: Automatic normalisation of quotes into a like-for-like comparison with a plain-English summary of coverage differences.
Comparison packs produced in minutes, consistently branded.
Today: Bills of lading, packing lists and customs paperwork are keyed in by hand across formats and languages.
We build: Extraction into your TMS schema with cross-document consistency checks and exception flagging.
Document handling time cut by most of its current cost.
Today: Delays surface when a customer calls to ask where their freight is.
We build: Continuous monitoring of carrier events, weather and port congestion, with customer notification and a suggested recovery plan.
Customers informed before they ask; escalations fall.
Today: Rate requests arrive by email and take hours to answer, by which time the shipper booked elsewhere.
We build: An agent that parses the request, prices from your rate tables and contracts, and returns a quote within minutes for approval or automatically under a threshold.
Quote turnaround measured in minutes; more requests won.
Today: Booking confirmations, POD chasing and status requests are manual email threads.
We build: An agent that handles routine carrier correspondence, extracts confirmations into the TMS and chases missing PODs.
Operations staff freed from inbox triage.
Today: HS code classification is slow and inconsistent, and mistakes are expensive.
We build: Suggested classifications with reasoning and precedent from your own past declarations, confirmed by a broker.
Faster, more consistent declarations with an audit trail.
Today: Pick paths and slotting are set once and never revisited.
We build: Demand-driven slotting recommendations and labour forecasts refreshed weekly from order patterns.
Pick travel and overtime both reduced.
Today: Carrier invoices are paid without checking against quoted rates and accessorials.
We build: Automatic audit of every invoice line against contract terms with dispute drafting for discrepancies.
Overbilling recovered that was previously invisible.
Today: Carrier and supplier performance is reviewed anecdotally.
We build: Automated scorecards on on-time performance, damage, documentation quality and responsiveness, with a written monthly summary.
Procurement conversations backed by evidence.
Today: Engineering drawings and RFQ emails are priced manually, taking days per quote.
We build: Extraction of specifications from drawings and RFQ documents, cost model lookup and a draft quote for engineer approval.
More quotes out, faster, with consistent margin logic.
Today: Sensor alarms are ignored until something breaks.
We build: Anomaly detection across sensor streams with maintenance work orders drafted and prioritised by predicted failure impact.
Unplanned downtime reduced; maintenance planned rather than heroic.
Today: Defect inspection is manual, slow and inconsistent across shifts.
We build: Camera-based inspection models trained on your defect classes, with borderline cases routed to an inspector.
Consistent inspection at line speed with a defect trend record.
Today: PO confirmations and delivery dates are chased over email.
We build: An agent that sends, chases and parses confirmations, updates the ERP and escalates late acknowledgements.
Purchasing team stops chasing and starts negotiating.
Today: Operators hunt through binders for the right work instruction or troubleshooting step.
We build: A tablet or voice assistant grounded in your work instructions, manuals and past fault reports, with citations.
Faster fault resolution and quicker operator onboarding.
Today: NCR and CAPA paperwork is a bottleneck that delays root-cause work.
We build: Draft NCRs from the operator's description and photos, cluster recurring causes and pre-fill CAPA documentation.
Quality engineers spend time on causes, not forms.
Today: Schedules are rebuilt in a spreadsheet every time something slips.
We build: Constraint-aware rescheduling suggestions when a machine, material or order changes, with the trade-offs explained.
Faster recovery from disruption with fewer late orders.
Today: Manuals, spec sheets and compliance packs are written from scratch per product variant.
We build: Generation from your product data and templates, with translation and change tracking across variants.
Documentation keeps pace with product changes.
Today: Users cannot find features and churn before they see value.
We build: An embedded assistant grounded in your docs and product state that answers questions and performs actions through your own API.
Activation and feature adoption both lift; support load falls.
Today: The same twenty questions consume most of support's time.
We build: A support agent over docs, changelog and past tickets that resolves the routine and routes the rest with a drafted answer and diagnosis.
Deflection of half or more of inbound with faster human replies on the rest.
Today: Implementation is a manual checklist run by CSMs over email.
We build: Guided, automated onboarding with data migration helpers, progress tracking and nudges when a customer stalls.
Time to value shortened and CSM capacity multiplied.
Today: Usage data exists but nobody watches it until renewal month.
We build: Health scoring from product usage, support and billing signals, with a written explanation and a suggested play per account.
At-risk accounts surfaced weeks earlier; expansion prompts land at the right moment.
Today: Reps spend a third of their time on research and CRM hygiene.
We build: Automatic account research briefs before every call, and call notes written straight back into the CRM afterwards.
Selling time recovered, and a CRM that is complete for once.
Today: Bug reports are vague and reviews queue for days.
We build: Automated issue triage with reproduction steps and duplicate detection, plus first-pass review comments on pull requests.
Faster triage and reviews that focus on design, not typos.
Today: Content marketing stalls because writing takes longer than shipping.
We build: A pipeline from keyword and customer-question research to briefs and drafts, in your voice, reviewed before publishing.
Consistent publishing cadence without a content hire.
Today: Inbound signups are worked in the order they arrive.
We build: Enrichment, ICP fit scoring and intent signals that route the best signups to sales within minutes.
Sales time spent on accounts with budget and fit.
Today: Reports are assembled by hand from six ad platforms every month.
We build: Automatic data pull, chart generation and written commentary explaining what changed and what to do next, in your template.
Reporting week becomes reporting hour.
Today: Creative production limits how much you can test.
We build: Concept and copy variants generated from the winning angles in your account, produced to brand templates and pushed into ad platforms.
More variants tested per pound of spend; faster learning cycles.
Today: A broken pixel or runaway CPA is found at the end of the week.
We build: Daily anomaly checks across accounts with plain-English alerts and suggested fixes routed to the right account manager.
Client spend protected; fewer awkward conversations.
Today: Every pitch is rebuilt from scratch under time pressure.
We build: Proposal drafting from a discovery transcript, your case-study library and pricing rules, formatted in your deck template.
Proposal turnaround in hours, with a higher standard floor.
Today: Content scale requires headcount you cannot bill for.
We build: Research, brief, draft, internal-link and metadata pipeline with an editor approval gate before publishing.
Output multiplied while the editor stays the quality gate.
Today: Trend response is too slow to matter.
We build: Monitoring of relevant conversations with drafted, on-brand reactive concepts pushed to the team within minutes.
Reactive posts land while the moment is still live.
Today: Client calls generate actions that live in someone's notebook.
We build: Automatic transcription, action extraction into your project tool and a client-ready recap sent the same day.
Nothing dropped between calls; recaps go out same-day.
Today: Prospecting stops the moment delivery gets busy.
We build: Continuous prospect research with account-specific angles and personalised sequences that pause when someone replies.
A pipeline that survives busy delivery months.
Today: Prospective students ask the same questions and wait days for an answer.
We build: A multilingual agent that answers course, fee, visa and deadline questions from your own material and books a call with admissions.
Enquiry-to-application conversion improves on speed alone.
Today: Marking volume forces short, generic feedback.
We build: Rubric-based first-pass marking with specific, evidence-linked feedback drafts that a tutor reviews and adjusts.
Students get richer feedback faster; tutors keep the final call.
Today: Materials, quizzes and slides age faster than staff can update them.
We build: Generation of quizzes, worked examples, slide decks and summaries from your source material, with a subject-expert approval step.
Course refresh cycles measured in days.
Today: Disengagement is noticed after a student has already left.
We build: Engagement signals from LMS activity and attendance trigger personalised outreach and a suggested intervention for the tutor.
At-risk students reached while it still matters.
Today: One pace for a class of thirty different students.
We build: A Socratic tutor grounded in the course material that adapts to each student's level and reports gaps back to the teacher.
Support available at 2am; teachers see class-wide gaps.
Today: Timetable changes cascade into hours of manual rework.
We build: Constraint-based rescheduling with conflict explanation and automatic notification to affected staff and students.
Disruption handled in minutes.
Today: Accreditation packs are assembled by hand every cycle.
We build: Continuous mapping of course delivery evidence to accreditation criteria with gap alerts well before the deadline.
Inspection preparation stops being a crisis.
Today: Everyone gets the same generic training regardless of role or level.
We build: Role-aware learning paths generated from your internal material, with knowledge checks and manager reporting.
Higher completion and demonstrable skill uplift.
Today: Estimators work evenings pricing drawings and specifications by hand.
We build: Extraction of quantities and specification items from drawings and documents, priced against your rate library into a draft estimate.
More tenders priced per estimator with consistent rates.
Today: Site diaries are written from memory, if at all.
We build: Photos and voice notes from site become structured daily reports with weather, labour, progress and issues, filed automatically.
Complete records that stand up in a dispute.
Today: RFIs sit unanswered and submittals are tracked in a spreadsheet.
We build: Automatic drafting of RFIs from site queries, routing, chasing and status reporting against contract deadlines.
Response times improve and deadline exposure is visible.
Today: Proving a variation months later means digging through emails and photos.
We build: Continuous linking of instructions, correspondence and site evidence to each variation, with a claim narrative drafted on demand.
Entitlement supported by evidence rather than memory.
Today: Safety observations are logged inconsistently and rarely analysed.
We build: Photo and voice capture converted into structured observations, risk-ranked, with trend analysis and corrective action tracking.
Leading indicators become visible before an incident.
Today: Dispatchers rebuild the day's schedule every time a job overruns.
We build: Skill, location and SLA aware scheduling with automatic rebooking and customer notification when things change.
More jobs per engineer per day; fewer missed windows.
Today: Quotes are sent and never followed up, so win rates suffer.
We build: Automated, polite follow-up sequences with objection handling and an option to rebook a site visit.
Win rate improves on follow-up discipline alone.
Today: Insurance certificates, qualifications and RAMS expire unnoticed.
We build: Document extraction with expiry tracking, automatic chasing and site-access blocking when a document lapses.
Compliance maintained without a full-time administrator.
The catalogue is what we have written up, not the boundary of what we build. Describe the steps, the systems and the volume, and we will tell you honestly whether it is worth doing.