Agentic Frontier

Know what automation costs before you build it.

Agentic Frontier benchmarks a workflow against multiple models on your own cases and reports the cost, the quality and the payback.

See pricing

Runs against models from

and any OpenAI-compatible gateway

Where automation pays off.

Every process you have scored, what it costs by hand today, and what the Automate queue is worth.

Most automation ideas never pay back. And nobody can tell which ones will.

A backlog of automation ideas all look equally promising on a slide. About a quarter of them would return more than they cost. The other three quarters cost a build to find out.

  1. A list nobody has sortedEvery idea looks the same until someone prices it
  2. A quarter would pay backThis is the answer, and nobody in the room has it
  3. The old way is to build one and seeNine builds, eighteen months, and the list has barely moved
  4. One evaluation prices all of themEvery idea comes back with a verdict, not a maybe
  5. Sorted, with what to do nextFour verdicts, and the money sitting in the top two
100 ideas on the list

Pays backDoes notNot yet known

Every process comes back with one of four verdicts. Not a report. A decision.

Each one says what to do next. None of them claims more than the evidence behind it.

  1. Automate

    Build it. It clears your quality bar and pays back the build. We hand the spec to your coding agent.

  2. Pilot

    Run it small. It clears the bar, but on fewer cases than we would like.

  3. Marginal

    Leave it alone. It works, but it saves less than it costs to keep running.

  4. Skip

    Do not build it. No model we tried clears your bar at any price.

How far the evidence goes

  1. Directional From your description. Ranges, not numbers, and it says so.
  2. Simulated From a benchmark on your own test cases.
  3. Measured From live traffic, priced per call.

A verdict never claims more than the evidence behind it. The fee is the same whichever one you get.

One evaluation, from a sentence to production. The shape, the models, the review rate, and what all of it costs.

Describe the process in a sentence

Agentic Frontier drafts the pipeline, marks each step as code, AI or human, and lists what it still needs from you before the estimate is real.

  • 1Steps typed as code, AI or human review
  • 2A data contract inferred from the description
  • 3A readiness checklist before any number is shown

Split it where the unit of work changes

Real processes fan out. One vendor invoice becomes many lines, and a line takes as many match attempts as it needs. Each of those is a different unit costing a different amount, so Agentic Frontier finds every boundary in the steps you wrote and measures the automations separately.

  • 1Boundaries detected from your steps, never guessed
  • 2Each block measured on its own unit and volume
  • 3One verdict for the process, priced from all of them

Benchmark every model on your own cases

Hundreds of configurations run against your test cases. The optimizer keeps the cheapest one that clears the quality bar and shows you the whole field.

  • 1Cost against quality for every assembled portfolio
  • 2The search funnel: tried, built, passed, winner
  • 3The winning recipe as a runnable workflow
See what a sweep costs

Decide how much human review it needs

Quality against review rate, derived from the run. Move the slider and the cost, the quality and the net savings move with it.

  • 1The ceiling, and why reviewers cannot exceed it
  • 2Price the mistakes that slip through
  • 3Every past benchmark of the workflow, kept
Talk to an engineer

Introducing Agentic Frontier MCP. Your coding agent builds what the verdict specifies.

An Automate verdict is not a recommendation somebody has to translate. It carries the pipeline, the model assignment that held, the review rate, the data contract and the graded cases. Connect Agentic Frontier MCP to the coding agent your team already uses and it reads every one of those, then writes the implementation.

  1. Everything the build needsSteps, models, review policy, data contract and the graded cases
  2. One server, connected onceAdd it to your agent and every verdict after it arrives the same way
  3. Nothing left to guessThe nine builds that found nothing were guesses. This one is priced before it starts

Tracked after it ships. Savings measured against the estimate, every day.

Connect the SDK and every call is priced from real usage. The verdict is re-opened if production drifts from the benchmark.

+$2,174
saved this month on one workflow, against $2,240 by hand
10%
measured error rate, against an assumed 8%
<1 mo
payback, measured after the build rather than projected

Built for regulated estates. Your data stays where it is.

SSO and SAML

Single sign-on with your identity provider on every plan.

Role-based access

Standard roles on Portfolio, custom roles on Enterprise.

Data processing agreement

Standard on Portfolio, negotiated on Enterprise.

Business associate agreement

Available on Enterprise for healthcare estates.

VPC or on-prem deployment

Sweeps run inside your own infrastructure on Enterprise.

Evidence retention

90 days on Free, 12 months on Portfolio, custom on Enterprise.

We are taking design partners, at no charge.

A small group of teams we build alongside. Full sweeps, verdicts and the build handoff over MCP at no charge, for as long as the partnership runs.

5 spots left

Evaluate five processes for free.

No data access is needed to start. An engineer replies within one business day.

Request a pilot

Tell us what you’re evaluating. We’ll come back with next steps.

We use this only to reply about a pilot. We do not need documents, code or process data at this stage.