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Ship · Get one workflow live

One workflow, into production, on your stack.

In your tenant, at a fixed price.

Fig. 00 · One workflow, into production

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Two ways in

A workflow that should already be automated

Invoices that take minutes each. Claims waiting on a first pass. KYC files read by hand. Contracts skimmed under deadline. If a workflow is document-heavy, rule-bound, and repetitive, it is a candidate, and most of the work is not the model: it is the exceptions, the review step, and the write-back into your systems.

A pilot that stalled

Plenty of firms already built something: a demo that impressed and then never shipped. We take stalled pilots to production by finishing the unglamorous parts: the accuracy bar, the review queue, the integration, the audit trail.

What we install

AI agents and agentic workflow automation

An agent is software that plans and executes steps against your systems, not a chat window. We build bounded agents for defined workflows, with a human approval gate before anything touches a system of record, and an audit trail of every action.

Fig. 01 · Agent with a human gate
Agentplan, actHuman approvalSystemof recordAudit trailevery action logged and attributable

The gate sits before any write; nothing reaches your system of record unreviewed, and every action is logged and attributable.

RAG and knowledge assistants, grounded in your documents, with citations

Retrieval-augmented generation answers from your own documents instead of the model's memory. We build assistants that cite the exact source passage for every answer, respect your existing permissions, and say plainly when the answer is not in the corpus.

Fig. 02 · Grounded answer with citation
QueryRetrieveAnswer1Source document1cites

Every answer cites the passage it rests on; when the corpus has no answer, the assistant says so.

Document processing and extraction

Invoices, claims, KYC files, and contracts arrive messy. We install pipelines that extract the fields you need, route low-confidence cases to a human review queue, and write clean records into your systems. The exception rate is measured, not assumed.

Fig. 03 · Confidence routing
ExtractfieldsConfidencegateSystemof recordExceptionhuman reviewabovebelow

Cases the pipeline is sure of write straight through; anything below the agreed threshold routes to a person.

LLM integration into your existing tools

The model is the easy part; the integration is the work. We wire language models into the systems you already run, under your keys, with the timeouts, retries, and fallbacks that survive a bad day.

Fig. 04 · Model under your keys
YoursystemsIntegrationunder your keysModel APIFallbackmodelfallbacktimeout · retry

The model sits behind your keys and your integration layer, with the timeouts, retries, and a fallback that survives a bad day.

Assistants and copilots on your data

A copilot earns its place when it knows your data and your rules. We build assistants scoped to one team's real work, grounded in your sources, with access controls that match the ones you already have.

Fig. 05 · Scoped assistant

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Scoped to one team, grounded in your sources, behind the access controls you already run.

Voice interfaces, on request

We build voice input and output where a workflow genuinely needs it. It is an interface to a system that works, never the headline.

Fig. 06 · Voice as interface

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Voice is an interface onto a system that already works, never the headline.

How it reaches production

Exceptions are expected, not exceptional. Anything the system is unsure about goes to a person, every action leaves a trail, and accuracy is measured against an agreed bar before go-live, not asserted after it. The full methodology is on the Approach page.

How we work, exactly

Fig. 07 · The production loop; the human gate is where a person decides
corrections feed the eval set01Intakedocuments in02Extractfields + confidence03Exception queuelow-confidence only04Human reviewapprove · correct05System of record

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In and out of scope

In scope
  • One bounded workflow with a named owner and a measurable bar
  • Built in your tenant, under your keys
  • A human review queue and an audit trail as first-class parts
  • Handover with documentation and training, or a run retainer
  • Fixed price, staged payments
Out of scope
  • Autonomous decisions without human review
  • Big-bang, everything-at-once transformations
  • Promises about headcount
  • Anything we cannot test against a measurable bar

Price and terms

1
Workflow review
Thirty minutes; you leave with a one-page scope and a fixed price.
Free · one-page scope
2
Production Readiness Assessment
A fixed $2,500 USD, credited to the build.
$2,500 USD · credited to the build
3
The build
Fixed price, staged payments, in your tenant. You own it at the end, or the same team runs it under a retainer.
Fixed price · staged payments
If the fit is wrong

We say so. The workflow review is free, and the assessment fee is credited to the build.

Book a workflow review

Thirty minutes; you leave with a one-page scope and a fixed price.

Prefer we keep it running? How the run retainer works

Fair questions

What does it cost?

The workflow review is free and produces a one-page scope with a fixed price for your case. The assessment that follows is a fixed fee, credited to the build, and builds are fixed-price with staged payments. Numbers are set per scope, not per seat.

What happens to our data?

Delivery work happens in your tenant, under your keys; your documents do not leave your systems. What our own website stores when you contact us is a separate, smaller thing, and both are spelled out on the data and security page.

Are you real?

TheFrontierForge is a working engineering practice. The engagement model and the team's background are stated as fact on the Approach page, and references are available on request.

Why you and not a platform?

A platform gives you features; it does not get your workflow into production. The work platforms cannot do is exactly what we sell: your data, your exceptions, your systems, your review gates. Where a platform genuinely fits, we install it rather than rebuild it.

Bring the workflow that hurts; the review tells you what it would take.

  1. Book a workflow review
  2. Commission a Production Readiness Assessment
  3. Commission the build