One workflow, into production, on your stack.
In your tenant, at a fixed price.
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Two ways in
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.
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.
Reading this for someone else, or allergic to the jargon? The plain-English version
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.
The gate is positional: the write path runs through the approval step, so skipping review is not an option the software has.
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.
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.
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.
When the primary model stalls or fails, the call times out, retries, then falls to the fallback model: the workflow degrades instead of stopping.
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.
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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.
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The order is fixed: the workflow clears its bar in text first, and voice is added last, as an interface to a system that already works.
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.
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In and out of 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
- 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
The Production Readiness Assessment is a fixed $2,500 USD, credited to the build.
2026-07-26
Builds are a fixed price from $30,000 USD, with staged payments.
2026-08-19
We say so. The workflow review is free, and the assessment fee is credited to the build.
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; the exact figure is stated with its basis in the ladder on this page. Builds are fixed-price with staged payments, 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 the working name of UnchartedEdge LLC, registered in Wyoming. The team's background and the engagement model are stated as fact on the Approach page, and the workflow review is free, so testing us costs you thirty minutes.
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.