03 · ASSURE — AGENT ASSURANCE · CONTINUOUS TESTING FOR AI AGENTS AND THEIR DATA

Your agents passed the demo.
We make sure they pass every day.

Agents reason, act and change without a code release, and the data behind them keeps changing too. Agent Assurance continuously tests your data, retrieval and agents, so trust is measured, not assumed.

Book a readiness assessment See the framework
Accuracy you can measure Business-owned golden sets, scored every release
Safety you can sign off on Policy, PII and red-team testing before go-live
Drift you can catch Live monitoring and automatic regression
THE AGENT ASSURANCE FRAMEWORK

Five checks every agent passes, continuously

01

Define

Golden datasets of real questions and approved answers

Acceptance thresholds signed off by the business

02

Evaluate

Automated scoring for accuracy, grounding and tone

Model-graded evals with human review of edge cases

03

Attack

Prompt injection, jailbreak and data-leak testing

Out-of-scope and abuse scenarios before users find them

04

Verify actions

Tool calls, sequencing and permissions tested end to end

Sandbox replay of real workflows

05

Monitor & govern

Live sampling and drift detection in production

Release gates and an audit trail for every change

WHAT WE ASSURE

Judged on what they say, and on what they do

Knowledge & service agents

Agents that answer employees and customers, judged on what they say.

  • Grounded, cited answers with no hallucination
  • Policy-safe responses and correct escalation
  • Consistent tone across channels and languages

Autonomous & process agents

Agents that act inside business systems, judged on what they do.

  • Right tool, right order, right permissions
  • Exception handling and human-in-the-loop handoff
  • Regression when upstream systems or models change
TOOLING

Tool-agnostic, fitted to your existing estate

Evaluate

promptfoo · DeepEval · Ragas

Golden-set scoring, RAG and answer metrics

Red-team & guard

PyRIT · Garak · NeMo Guardrails

Attack suites plus runtime guardrails

Trace & monitor

Langfuse · Arize Phoenix · OpenTelemetry

Every step, tool call and cost, traced

Gate releases

GitHub Actions · Azure DevOps

Evals run in CI; failing scores block release

HOW WE ENGAGE

From first baseline to continuous assurance

1 · Assess Agent inventory and risk tiers.
2 · Baseline Golden sets, thresholds and first evals.
3 · Embed Release gates and a red-team suite.
4 · Sustain Monitoring and monthly quality reviews.

Know how your agents perform, not just how they demo

Start with an assessment of your agent estate, risk tiers and current testing, and a baseline plan you keep either way.

Talk to us · info@shvx.in