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Each blueprint is a specific, buildable automation: the trigger, every step and what kind of work it does, the data it touches, the guardrails, a downloadable template, and a fixed price to have Agentmelt build and run it in your tools. Start with the one that matches the job you keep doing by hand — or take the free audit and we will find it.
48 blueprints
AI spend analysis explained: invoice and PO lines classified into a spend cube every month, the accuracy to expect, the ERPs it reads, and what it costs.
AI demand forecasting explained: sales history plus promotions, price and weather in; SKU-week forecasts with error bands out. Accuracy, data needed, cost.
Employee onboarding automation explained: offer accepted to accounts, equipment, paperwork, training and check-ins. Steps, tools, template, cost.
Automated code review explained: every pull request checked against your standards, inline comments on real bugs and risks, a summary for the reviewer.
Expansion opportunity detection explained: seat use, plan limits, adoption and buying signals scored weekly; CSMs get a ranked list and the play.
AI unit test generation explained: untested changed functions get tests in your framework, run in CI, kept only if they pass and add coverage. You review.
AI inventory optimization explained: reorder points and safety stock per SKU-location recalculated weekly from forecast error; a buyer approves orders.
AI social listening explained: brand, competitor and category mentions classified by intent and sentiment, replies drafted for approval, rest routed.
Employee offboarding automation explained: revocation tickets with deadlines, equipment return, handover draft, final pay hand-off, closure checked daily.
Automated underwriting intake explained: submissions read from email, data extracted and checked, appetite rules applied, one complete file to underwrite.
AI financial reconciliation explained: bank, processor and ledger lines matched daily, breaks explained, entries proposed for approval.
Email triage automation explained: every message classified, tasks and dates extracted, routine replies drafted for approval, a short ranked list.
AI ticket deflection explained: repeat questions answered from your help centre with citations, the rest routed with a summary. Rate, guardrails, cost.
Document generation automation explained: the client record pulled, the brief parsed, past answers retrieved, each section drafted in your template.
Dunning automation explained: retries timed to the decline code, messages written for the failure, one approved save offer, recovery tracked.
Logistics optimization with AI explained: each shipment rated across your carrier contracts, the cheapest on-time service booked, delays explained first.
Proactive customer outreach explained: failed payment, error spike, unused feature or late delivery → one specific message before the ticket. Rules, cost.
Customer onboarding automation explained: milestones tracked from product events, one nudge per stall, setup answers from your docs, CSM alerted.
AI supplier risk monitoring explained: financial, news, delivery and geographic signals scored weekly per supplier; a brief with the exposure per alert.
Prior authorization automation explained: the auth need detected, documents gathered from the EHR, the necessity summary drafted against payer criteria.
Customer health scoring explained: a weekly score per account from usage trend, support sentiment, billing and engagement; alerts on drops with cause.
Claims intake automation explained: first notice of loss captured from any channel, coverage verified, severity triaged, simple claims fast-tracked.
Payroll automation explained: hours, leave, expenses and changes pulled and checked against policy, anomalies explained, a clean file to your provider.
Automated security alert triage explained: every SIEM/EDR alert enriched, correlated, scored and closed if benign; analysts get a ranked queue.
AI competitor monitoring explained: pricing pages, changelogs, job posts, reviews and ads snapshotted daily, real changes detected, a weekly brief.
AI content repurposing explained: a podcast or webinar transcribed and turned into show notes, a blog post, LinkedIn posts, a thread and clip timestamps.
Customer win-back automation explained: churned customers segmented by reason and value, a trigger that makes a return plausible, one message, one offer.
AI appointment reminders explained: two-way SMS, email or voice, replies understood and rebooked from real availability, cancelled slots refilled.
KYC/AML monitoring automation explained: screening at onboarding and on schedule, transaction rules, each hit built into a case, the analyst decides.
Inbound lead qualification with AI explained: every form fill enriched and scored in seconds, a personal first reply, hot leads to the right rep.
Data migration automation explained: source profiled, field mapping proposed by AI and confirmed by a person, validated on samples, cutover in batches.
Cold outbound automation explained: a list from your ICP, each account researched, a grounded first line, a quality gate, sequencing, hot replies to a rep.
Weekly reporting automation explained: every metric run from a catalogue, deltas flagged, the week's events pulled, the narrative drafted, approved, sent.
Listing description automation explained: the MLS description within limits and fair-housing rules, social posts, buyer email, a tour script, for review.
IT helpdesk automation explained: resets, access and how-to questions handled from Slack with approvals, run via the identity provider, the rest ticketed.
Purchase order automation explained: requests completed by AI, budget and policy checked, approvals routed by amount, the PO in the ERP, receipt tracked.
Invoice processing automation explained: invoices captured, fields extracted with confidence, duplicates caught, three-way matched, approved by phone.
Meeting prep automation explained: every external meeting gets a one-page brief from the CRM, the company news, the attendees — and three angles to raise.
Contract review automation explained: clauses extracted, compared with your standard and fallback positions, deviations flagged with a redline, routed.
Customer feedback analysis automation explained: every review, ticket, survey and mention classified by theme and sentiment with a quote, reported weekly.
Review response automation explained: reviews collected across Google, Yelp, Trustpilot and app stores, a specific reply drafted in your voice, approved.
Resume screening automation explained: the role's written criteria applied to every application the same way, evidence per score, a ranked shortlist.
Candidate outreach automation explained: each candidate researched, a message naming one thing they did, sent from the recruiter, followed up twice.
Client intake automation explained: each enquiry classified, parties and facts extracted, the conflict check run, the engagement letter drafted.
Client reporting automation explained: each client's monthly pack built from the ledger, compared with budget and last year, the narrative drafted.
Interview scheduling automation explained: real panel availability, three slots offered, booked with links, reminders, reschedules in-thread, ATS updated.
Lead nurture automation explained: it waits for a reason to write — a matching listing, a rate change, an anniversary — names it, sends, stops on reply.
Speed-to-lead automation explained: every new lead gets a two-sentence reply in your voice with one question within two minutes, logged and handed off.
How the pricing works
We build it in your tools (n8n, Make or Zapier — whichever fits your accounts), connect your systems, host it or deploy it to you, monitor it and fix it when an API changes. Setup is included in the first month, billing is monthly, and you keep everything if you leave.
When the standard blueprint does not fit — unusual systems, multi-entity rules, actions inside your product — we scope a custom version, deliver it with documentation and a walkthrough, and offer maintenance from $99/month. See pricing.