Production reliability · Four engineering packages

AI Agent Reliability Engineering

Control what your AI agents can change. Prove what happens when they fail.

For CTOs, AI product teams, and engineering delivery partners with existing tool-using agents. Harden authorization, retries, external effects, and recovery with scoped, reproducible results.

Choose your outcome

One reliability problem.
Four engagement levels.

Start with a paid failure diagnosis or proceed directly to a defined hardening scope. The enterprise tier is custom-quoted; a diagnostic is not mandatory when the problem and acceptance target are already established.

01 / Entry diagnostic

Agent Failure Triage

$1,500USD · 2 business days

Isolate the failure before funding a rebuild.

One existing tool-using agent workflow, one failure class, and available sanitized logs or staging reproduction.

  • Trace inputs, tool calls, permissions, side effects, and observed outcomes.
  • Identify unsafe retries, duplicate-action exposure, and missing evidence where applicable.
  • Deliver a source-linked diagnosis, prioritized fix plan, and a 45-minute technical review.

Acceptance: A documented failure or evidence gap, reproducible test plan, and ranked remediation decision. No production patch included.

Discuss triage scope

03 / Implementation

Production Hardening

$12,500USD · 10 business days

Stabilize existing agents and prove their boundaries.

Up to two agreed existing agent workflows, with staging access, defined external-effect types, and written acceptance scenarios.

  • Prioritize observed failure modes and map authorization, retries, and recovery.
  • Implement scoped control improvements and reproducible regression tests.
  • Integrate acceptance checks with existing validation and deliver source, evidence, and handoff.

Acceptance: Agreed failure cases are reproducible and applicable controls pass in staging; unresolved risks are documented.

Discuss hardening scope

04 / Custom enterprise scope

Execution Assurance

From $25,000USD · typically 4+ weeks

Establish verifiable controls across systems.

Multi-system production-readiness assessment and prioritized hardening; exact systems, access, delivery schedule, and fee are quoted in writing.

  • Map action authority, identity, external effects, failure modes, and operational boundaries.
  • Implement agreed high-priority controls and acceptance evidence within the signed scope.
  • Deliver a technical assurance evidence pack, open-risk register, and engineering handoff.

Acceptance: Written system-specific gates, reproducible validation, and explicit unresolved limitations. No independent audit certification or uptime SLA.

Request custom scope

The first three prices are fixed USD fees for the listed boundaries; Execution Assurance starts at $25,000 and requires a written custom quote. Taxes and separately approved third-party usage are excluded. Delivery windows begin after written scope agreement and access readiness. No certification, uptime SLA, or guaranteed business outcome is implied.

Model choice

Model-agnostic engineering. Lasting operational control.

Choose the LLM and provider that fit your cost, privacy, and deployment requirements. Explicit model interfaces keep orchestration, policy, execution, and retrieval independent of vendor lock-in. Provider adapters and model capabilities are validated for the agreed scope.

Receive source changes, reproducible tests, and a technical handoff in your environment. Provider migration, production deployment, ongoing operations, and additional integrations can be scoped separately. Explore the architecture →

Delivery

Executable acceptance tests.
Defined scope.

Agree what success means before implementation. Review the evidence at handoff.

  1. 01 / Define

    Agree the target

    Confirm one objective, scope boundaries, access, baseline, and acceptance criteria in writing.

  2. 02 / Implement

    Make the change

    Work in a controlled environment. Review source changes and test the agreed scenarios.

  3. 03 / Verify

    Reproduce the result

    Run the documented checks, review residual risks, and hand over the evidence and operating notes.

Technical proof

Inspect the engineering before the engagement.

Run the credential-free APEX recovery demo, inspect policy-to-execution integration tests, and review RAG process-crash recovery tests. These are executable AXIOM engineering artifacts, not customer outcome statistics.

Before kickoff

Clear expectations.
Direct answers.

Which package should we choose?

Choose Triage to isolate one failure, Reliability to test and patch one workflow, Hardening for up to two existing workflows, or custom-scoped Assurance for multi-system control work. RAG and integration issues remain eligible technical capabilities when included in an agreed scope.

What access and inputs are needed?

Provide the scoped repository or service, a working test environment, representative sanitized inputs, and a technical owner. Keep credentials in your approved secret store. Confirm data handling and access requirements before sharing sensitive material.

Can we use our existing LLM and infrastructure?

Yes. Model and deployment choices are yours. We verify the selected provider's interfaces and capabilities against the scope and acceptance criteria before commitment.

What does the fixed fee cover?

The listed deliverables and limits. Triage is diagnostic only; Reliability and Hardening include bounded changes and tests. Assurance is quoted separately. Additional scope, production deployment, usage charges, and ongoing support require a separate agreement.

Start here

Bring the objective.
Leave with a clear scope.

Technical context

Meet Director