01 / Applications Twelve worked examples

The applications below are examples of AI systems we build and operate for mid-market companies.

Yours will look different — same discipline, your workflow.

Function
Industry

Feature-weight

Three where the pattern is tightest.

01 · HR / People Ops

HR Copilot for regulated workforces

Your HR team stops answering the same 200 questions every week.

The buyer's story: Your HR inbox has 40 unread messages before lunch. Half are 'quantos dias de férias eu tenho,' a third are benefits questions your policy PDF already answers, and the rest are the ones that actually need a human. The team spends more time triaging than solving.

OUTCOME · 60–75% of tier-1 HR tickets resolved without a human touch [typical range in category]. Policy-answer accuracy audit-logged per response.

Tech basis: RAG over messy, versioned HR documents (convenção coletiva, employee handbook, benefits carrier PDFs) plus live system-of-record calls (Senior, TOTVS Protheus, Workday) for entitlement math. Hallucination on labor law is a legal event, not an inconvenience.

For your business: your HR team goes from ticket-clearers to advisors.
Healthcare cooperatives · Industrial mid-market · BPO · 200–1,500 employees
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02 · Legal / Compliance

Contract & obligation intelligence

Every renewal, indemnity, and auto-renew clause — findable in 30 seconds.

The buyer's story: Your GC's team can't tell you, without opening five PDFs, whether your top ten vendors have MFN clauses. Renewal dates live in someone's calendar. Two contracts auto-renewed last year that shouldn't have.

OUTCOME · Contract review time reduced from ~4 hours to ~20 minutes per document [typical range in category].

Tech basis: Clause extraction across heterogeneous contract templates with citation back to source pages. Domain-tuned extraction plus an audit trail that stands up to litigation-hold discovery.

For your business: your legal team stops being surprised by their own portfolio.
Professional services · Financial services · Healthcare · 200+ agreements portfolio
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03 · Field Operations

Field service dispatch & technician copilot

Route the right technician to the right call — with the right parts on the truck.

The buyer's story: Your dispatcher is a Tetris expert with a headset. First-time-fix rate is 60% because the technician gets there and doesn't have the part. Service logs are handwritten, then re-typed at 6pm, then never read again.

OUTCOME · First-time-fix rate lifted 8–15 percentage points [typical range in category].

Tech basis: Multi-agent orchestration with voice interface for the technician on-site, hands-free, PT or EN. Runs partially at the edge for warehouses without reliable connectivity.

For your business: every truck rolls with the right part and the right playbook.
Industrial services · HVAC · Elevator/equipment · Port ops · Energy services
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Standard-weight

Nine more, same discipline.

04 · Sales / RevOps

Sales pipeline hygiene & meeting-prep agent

Your CRM stops being a graveyard — and your AEs stop winging every call.

~20% forecast-accuracy lift · 4–6 hrs/week saved per AE [typical range]
B2B SaaS · Prof. services · Mid-market financial
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05 · Customer Service

Omnichannel customer service triage

WhatsApp, email, voice — triaged, routed, resolved before it hits your queue.

45–65% of tier-1 tickets deflected or auto-resolved · TTFR under 2 min
Retail · Financial · Healthcare · Subscription
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06 · Finance / Procurement

Accounts-payable & invoice matching

Three-way match on every invoice — before it hits your ledger.

Straight-through processing on 70–85% of invoices [typical range]
Manufacturing · Distribution · Healthcare · Multi-entity
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07 · Data & Analytics

Natural-language BI over your warehouse

Ask your data warehouse a question. Get a defensible answer, not a chart-guess.

Analyst backlog reduced 40–60% [typical range] · every answer ships with the SQL it ran
Retail · Financial · SaaS · Snowflake / BigQuery / Redshift
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08 · Product & Engineering

Internal engineering knowledge assistant

New engineer questions answered in seconds — from a codebase they haven't read yet.

Time-to-first-commit reduced 30–50% [typical range]
SaaS · Fintech · Eng org above ~80 engineers
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09 · Clinical Ops

Patient intake & pre-authorization

Intake, eligibility, and pre-auth — done before the patient walks in.

US denials −20–35% · BR no-show −15–25% [typical range]
US billing practices · BR Unimed · Hospital groups
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10 · Quality Ops

QA vision & root-cause narrative

Every defect caught on the line — and explained, not just flagged.

Defect escape rate −30–50% · time-to-root-cause days → hours [typical range]
Manufacturing · Food processing · Industrial assembly
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11 · Merchandising / SC

Demand forecasting with human-in-the-loop

Forecasts your buyers actually trust — because they saw the reasoning.

Stockout −15–25% · overstock write-downs −10–20% [typical range]
Retail · Distribution · Multi-location services
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12 · Logistics

Shipment exception handling

Every stuck shipment worked on before your customer calls.

Median exception resolution −40–60% [typical range]
Distribution · E-commerce fulfillment · Cross-border US↔BR
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Micro · we also build

PR review copilot

Engineering-internal, complements the knowledge assistant.

Incident triage & runbook agent

SRE-adjacent. Reads pages, drafts response, escalates.

Expense triage

Finance micro-workflow. Categorization plus policy check.

Vendor procurement pre-check

Legal + finance hybrid. Redlines and risk flags before signature.

Scope-priced. Not a subscription.

Custom builds price by scope, not by seat. Working starting numbers below — your actual scope may shift these up or down.

Brazil (BR)

Pilots from R$ 75K

Production from R$ 240K–600K annual

United States (US)

Pilots from $30K

Production from $150K–400K ARR

Working numbers pending founder confirmation. Custom scope pricing on request.

Some things we send you elsewhere for.

We don't build CX chatbots as a product line — if that's the whole ask, Sierra or Decagon are better fits. We don't sell HR-only SaaS seats — that's Leena AI or Moveworks territory. We don't ship a strategy deck and walk away — that's what the Big Four are for.

We build custom AI systems, deploy them, and stay on-call when they misbehave at 2am. If that shape matches what you're trying to do, let's talk.

See yourself in one of these? Let's talk.

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