Test Your AI Agents. Trust Their Actions.

TEST & TRUST AI AGENTS

Test AI agents against the work they must do.

Choose a focused assessment, an implementation engagement or recurring evaluations. Start with the business decision you need to make, and we will match the evidence to it.

Choose your starting point

01

Preparing for launch

Use an Evaluation Assessment to establish an independent baseline, find the failures that matter and agree what must be fixed before customer rollout.

Explore service
02

Changing a model or workflow

Use Evaluation Implementation to create repeatable comparisons and release checks your team can run on every change.

Explore service
03

Operating an existing agent

Use Managed Evaluations to run scheduled benchmarks, review approved samples of real interactions and track quality over time.

Explore service

Focus: hallucinations

01

The most visible failure

Hallucinations erode trust faster than any other agent failure. Every engagement measures them explicitly, by workflow and type.

02

Beyond wrong answers

We test for invented policies, fabricated tool arguments and claimed actions that never happened, not only factual errors.

03

Hallucination testing

See how we build source-anchored tests, verify claims and actions, and measure which fixes reduce hallucinations.

Explore service

Compare the services

01

Assessment: a decision

A bounded engagement on one agent or workflow. Output: baseline scorecard, prioritized findings, decision workshop and the reviewed dataset. Best when a specific launch or change decision is pending.

02

Implementation: a capability

Hands-on build of your evaluation harness, datasets, judges and release gates. Output: a working, documented system your engineers own. Best when evaluation must become routine.

03

Managed: a rhythm

Recurring regression runs, sample reviews and monthly reporting at an agreed cadence. Output: ongoing evidence and a growing benchmark. Best when change is constant and in-house capacity is limited.

What we evaluate

01

Workflow and outcome

Task completion, tool selection, argument accuracy, sequencing, handoffs, memory behavior and the final state of the systems the agent touches.

02

Hallucinations and answer quality

Invented facts, policies and citations; claims unsupported by your sources; correctness, relevance, instruction adherence and consistency with your business rules.

03

Operational efficiency

Latency, model usage, retries and cost per successful task within the agreed test scope, so quality gains can be weighed against cost.

Agent types we test

01

Customer service agents

Order changes, refunds, bookings, account questions and escalation to people. We test outcomes, policy adherence and the handoff experience.

02

Operations and workflow agents

Agents that read and update CRMs, ticketing, scheduling or finance systems. We check every action against the expected record changes.

03

Knowledge assistants with actions

Retrieval-based assistants that answer from your documents and then act. We test grounding, citations, omissions and the action that follows the answer.

04

Multi-agent systems

Orchestrators and specialist agents passing work between them. We test routing, handoff context, duplicated or dropped work and final outcome.

05

Internal productivity agents

Research, drafting, analysis and data agents used by employees. We test accuracy, completeness and where human review must stay in the loop.

06

Voice and chat front doors

First-contact agents that classify intent and collect information. We test understanding, clarifying questions and correct routing under messy input.

How an engagement runs

01

Scope

Agree the workflow, users, tools, decision, acceptance criteria, inputs and exclusions in a short written plan before any testing begins.

02

Evaluate

Build and review the dataset, calibrate evaluators with your experts, run the tests with recorded configuration and investigate every material failure.

03

Decide and hand over

Present findings by severity, agree owners and retests, and transfer the dataset, rubrics and instructions your team needs to repeat the work.

Make your next decision with evidence.

Start with one workflow, clear success criteria, and an evaluation plan your team can use.

Plan an assessment