Reasoning
Domain expertise, reasoning coherence, factual grounding, and confidence calibration.
Platform · Train Agents
Train deeper.Certify ready.
Pryme's training console grounds every agent in your business context with live mailbox traffic, scenario packs, and training packs. Every draft is reviewer-gated. Reasoning, execution, governance, and readiness are measured continuously across role-specific benchmark suites. And the agent literally cannot go live until the certification evidence clears nine hard gates.
Grounding
Reasoning
Guardrails
Certification
Pryme Intelligence
Agent certification
Focus
Grounded, benchmarked, and reviewer-gated before activation
Four pillars
Ground → Train → Benchmark → Certify.
The same pattern applies to every agent Pryme Intelligence lets into production: connect the right business context, train under review, measure against the right benchmark suite, and block activation until the evidence is strong enough.
Ground
Connect live mailbox traffic, ticket queues, Slack or Teams channels, and structured training packs so the agent learns from your actual business context rather than a generic internet prior.
You get: Agents trained on your cases, your voice, and your policy.
Learn moreTrain
Pryme Intelligence runs a reviewer-gated mailbox loop: the agent drafts, the reviewer approves or marks for revision, and the next case stays locked until that decision is made.
You get: Named-human review built into every batch of learning.
Learn moreBenchmark
Reasoning, execution, governance, and readiness are measured continuously across role-specific benchmark suites, with critical and standard tests separated so average scores cannot hide make-or-break gaps.
You get: A multi-dimensional quality picture instead of one vanity accuracy number.
Learn moreCertify
The agent cannot deploy until the certification evidence clears hard gates for readiness, guardrails, benchmark coverage, gold fit, confidence, critical issues, authoritative runs, server history, and feedback replay.
You get: Production authority that has to be earned, not claimed.
Learn moreNine gates
Nine gates between your agent and production. Zero shortcuts.
Most AI agent platforms ship the moment a developer says the agent looks ready. Pryme Intelligence is built so the agent literally cannot ship until the evidence supports it. The dashboard tells you which gate is open, which one is closed, and what still has to move.
Gate
Floor
What it proves
Readiness
88%+
Authoritative readiness floor before the badge unlocks.
Guardrails
90%+
Policy and guardrail compliance must stay above the hard floor.
Authoritative runs
3+
The agent must prove itself in end-to-end authoritative runs.
Server history
3+
The server-side evidence stream must exist independently of client claims.
Benchmark coverage
75%+
The agent must cover enough of the certification benchmark suite.
Gold fit
88%+
Output quality must match the target standard closely enough to ship.
Evidence confidence
85%+
The evidence pack itself must be strong enough to trust.
Critical benchmarks
Zero open
No certification-critical gaps can remain.
Approved feedback replay
Validated
Accepted feedback must be replayed and passed before certification.
Trained on real traffic
Live mailbox traffic as the training dataset. Reviewer-gated, batch by batch.
This is how Pryme turns AI trained on the open internet into AI trained on your business. The reviewer sees the real case, the draft, the notes, and the decision gate. The agent waits until that decision is made.
01
Connect a live source such as Support Inbox, a ticketing queue, or a custom mailbox feed.
02
Load a batch of real cases and show the reviewer the case, the draft, and the reviewer gate.
03
Approve the draft to let the agent learn from the approved version and unlock the next case.
04
Mark for revision to teach the correction while keeping the next case locked until the human decision is made.
Sixteen dimensions
Reasoning, Execution, Governance, Readiness — measured continuously.
A single accuracy score hides where the agent actually struggles. Pryme Intelligence separates the quality picture into four pillars so you can see exactly what is strong, what is weak, and what is still blocking certification.
Execution
Task completion, tool use, context retention, latency, and robustness under stress.
Governance
Guardrail compliance, policy adherence, hallucination control, emotional compass alignment, and adaptability to feedback.
Readiness
Dataset coverage, scenario coverage, authoritative runs, and server-authored history.
Critical and standard benchmark suites.
Critical benchmarks are the make-or-break tests for the role. Standard benchmarks still matter, but they do not get to hide critical gaps behind an average. The exact suite changes by role, and Pryme Intelligence supports custom benchmark sets where enterprise setup needs them.
Failure modes named, tracked, replayed.
Benchmarks tell you how well the agent does the work. The failure taxonomy tells you how it fails when it fails. Over-confident wrong answers, off-policy autonomy, missed escalation, and wrong tone in sensitive states stay visible even when the broader gate is green.
Before live and after live
Sandbox before live. Iterative feedback after live. Server-authored evidence throughout.
The same training console that evaluates the agent also holds the release evidence. Sandbox testing, approved feedback replay, evaluation traces, and exportable release metadata all stay in the same Workspace.
Sandbox Environment
Test new prompts, policies, and channel behaviour without touching production traffic.
Iterative Feedback
Review feedback, approve it, replay it against the benchmark suite, and block certification until it passes.
Evidence & Release Metadata
Export the training packs, scenario packs, benchmark evidence, reviewer identities, and certification state when audit asks.
Why this rigor matters
Pryme Intelligence vs. the way agent training is done elsewhere.
DIY stacks and most vendor agent platforms either do not enforce the training rigor at all or split evaluation into a separate tool from deployment. Pryme Intelligence keeps training, certification, and activation inside one Workspace and makes the gates hard.
Capability
Elsewhere
Pryme Intelligence
Training data
Synthetic prompts and hand-written tests
Live mailbox traffic, scenario packs, and training packs
Human review
Optional or post-launch
Reviewer-gated on every case before the next one unlocks
Quality signal
One accuracy score
Reasoning, execution, governance, and readiness across 16 dimensions
Critical failures
Buried inside averages
Tracked as certification blockers with explicit open/clear state
Deployment gate
Developer says it looks ready
Nine hard gates between the agent and production
Evidence trail
Thin or reconstructed later
Server-authored history, authoritative runs, replayed feedback, exportable evidence
Who reads this page
Built for the teams that have to trust the agent before they let it work.
Engineering lead
Needs a structural answer to what stops a bad agent from shipping.
Agent owner
Needs to see exactly where the agent is weak before asking the business to trust it.
Compliance or risk lead
Needs evidence that training, review, and deployment are not the same unchecked step.
Executive sponsor
Needs to know the next AI initiative will fail closed instead of failing in production.
Outcomes
What changes when training has rigor.
Agents go live with measured authority rather than developer confidence.
Sandbox behaviour and production behaviour stay closer because the certification floors are not gameable.
Failure patterns are named, tracked, replayed, and corrected instead of rediscovered as incidents.
Compliance, audit, and risk teams get the evidence pack as a by-product of the work, not a reconstruction project.
Reviewers spend time on judgement and correction, not on blind trust.
The certification badge actually means something because the platform blocks activation until the gates are green.
Bring an agent you'd like to deploy.
We'll show you the gates it would have to pass.
We walk through the reviewer loop, the reason-and-intelligence scorecard, the benchmark evaluation framework, and the deployment certification dashboard. You see exactly what would block a bad agent from shipping, and exactly what has to improve before the badge turns green.
FAQ
Questions about how training and certification actually work.
What does reviewer-gated training actually mean?
Every drafted response on a real training case requires a human decision before the next case unlocks. Approve the draft and the agent learns from it; mark it for revision and the correction becomes the lesson. The gate is the point.
What are the nine certification gates?
They cover readiness, guardrail compliance, authoritative runs, server history, benchmark coverage, gold fit, evidence confidence, critical benchmark blockers, and approved feedback replay. If any one fails, the agent stays not eligible.
Why are server-authored history and authoritative runs separate?
Authoritative runs show the agent doing real work. Server-authored history is the independent server-side record of that work. Pryme Intelligence requires both so certification cannot be gamed from the client side.
What is the difference between critical and standard benchmarks?
Critical benchmarks are the make-or-break tests for the role. Standard benchmarks are still tracked, but a single miss there does not block certification by itself. Critical gaps do.
Why does approved feedback need replay before certification?
Because accepted feedback that is never replayed is still just a promise. Replay proves the change improved the intended benchmark without regressing the rest of the suite.
What is the failure taxonomy doing if benchmarks already exist?
Benchmarks tell you how well the agent performs. The taxonomy tells you how it fails when it fails. A green agent with a worsening failure pattern is a future incident, so Pryme Intelligence keeps both views visible.
Can an agent skip one of the four pillars and still be certified?
No. You can use parts of the training stack in isolation, but a Pryme-certified agent has to be grounded, reviewer-trained, benchmarked, and certification-gated.
What data sources can feed the training console?
Live inboxes, ticket queues, Slack or Teams channels, and custom sources through connectors. Scenario Packs and Training Packs cover policy-heavy roles where structured ground truth matters more than free-form traffic.