p3m.ai · AI-powered evaluation intelligence

Turn Audits and Assessments Into Measurable Improvement.

p3m.ai is Hypothesize's AI-powered evaluation intelligence platform for structured audits, psychometrics, AI video review, dashboards, task management, and identity verification across education, healthcare, corporate, finance, industrial, and hospitality teams.

100+ Audit Templates
2,500+ Reports Generated
ISO-Grade Security Posture
Education · Healthcare · Corporate · BFSI

Evaluation Infrastructure for Organisations That Need Evidence, Not Opinions

p3m.ai packages structured observation, assessment, psychometric intelligence, dashboards, and improvement workflows into a single AI-native platform. It helps organisations observe consistently, analyse root causes, assign actions, and prove improvement.
The problem

Audits are slow, subjective, and hard to scale

Manual observation cycles take weeks, scoring varies by reviewer, and most organisations cannot see performance gaps until the damage is already done.

Our answer

Criterion-level evaluation with AI-generated reports

p3m.ai supports custom audit forms, PACT-style scoring, AI root-cause analysis, templates, and reports that move beyond aggregate scores into concrete improvement actions.

The platform

Audits, assessments, video, dashboards, tasks, and identity

Six integrated modules cover manual and AI video audits, psychometrics, real-time dashboards, task closure, and AI-assisted identity verification.

The outcome

Observe. Analyse. Act. Improve.

Evaluation becomes a continuous operating rhythm: structured evidence, root causes, assigned follow-up, re-audit, and measurable progress over time.

A Connected Ecosystem for Building and Operating Enterprise AI Agents

CPN is the agent delivery vehicle, p3m.ai is the evaluation and improvement intelligence layer, and CostKatana is the governance layer that keeps production AI measurable.
Governance add-on

CostKatana

Every agent we deploy is instrumented with CostKatana for real-time LLM cost observability, hallucination detection, prompt optimization, model routing, and ROI tracking.

Explore CostKatana

Six Integrated Capabilities for Evaluation at Scale

p3m.ai combines structured observation, assessment, AI analysis, dashboards, task closure, and identity checks so evaluation does not stop at a score.
M1

Auditing & observation

Custom audit forms, criterion-level scoring, stakeholder workflows, and AI-generated reports for structured quality assurance.
Classroom and leadership observation
KYC and branch compliance audits
Industrial quality and safety inspections
M2

Assessments & psychometrics

Criteria-linked question banks, AI grading support, root-cause analysis, and behavioural or aptitude profiling.
Student assessment and career profiling
Pre-hire screening and 360 appraisal
Role fit, mindset, and leadership potential
M3

AI video audits

Upload recordings and evaluate posture, speech, tone, body language, and criteria adherence with fast AI-assisted scoring.
Recorded teaching and training reviews
Call quality and service performance audits
Interview and candidate evaluation
M4

Dashboards & analytics

Layered dashboards from organisation-level views down to individual criterion scores, cohorts, trends, and gaps.
Multi-location performance visibility
Clinical and operational compliance trends
PACT score history and cohort analysis
M5

Task manager

Audit findings become improvement tasks with owners, due dates, completion tracking, and re-audit loops.
Action plans from audit findings
Deadline and owner tracking
Re-audit to confirm improvement
M6

Identity verification

AI face-to-ID matching, document authenticity checks, and public-record cross-verification with confidence scoring.
Staff, candidate, and contractor checks
BFSI KYC and remote onboarding
Credential verification workflows
Evaluation problem

Auditing & Observation

Observation is inconsistent when every auditor uses their own rubric, timing, and reporting style.

Named use cases
Education: classroom observation, leadership observation, NEP compliance Healthcare: nursing quality, sterilisation, medication adherence BFSI: branch audit, KYC compliance, regulatory trail documentation
Before / after metricPlaceholder: audit cycle time, score consistency, report turnaround, and action completion rate.
Assessment
Assessment problem

Assessments & Psychometrics

Most tests identify pass/fail outcomes but do not explain skill gaps, behavioural patterns, or growth paths.

Named use cases
Education: student academic assessment, psychometric and career profiling Corporate: pre-hire personality screening and 360 appraisals Healthcare: staff competency and role-readiness evaluation
Before / after metricPlaceholder: root-cause clarity, assessment completion time, profile accuracy, and development-plan adoption.
Assessment
Scale problem

AI Video Audits

Live observation cannot cover every interaction, class, interview, or service moment at enterprise scale.

Named use cases
Education: recorded class, online learning, and training session audits Corporate: contact-center and service interaction quality reviews BFSI: remote candidate and onboarding interaction evaluation
Before / after metricPlaceholder: coverage rate, analysis time per recording, confidence score, and reviewer hours saved.
Assessment
Visibility problem

Dashboards, Tasks & Identity

Evaluation data loses value when it is fragmented across forms, spreadsheets, HR tools, and one-off reports.

Named use cases
Hospitality: brand standards, hygiene compliance, franchise consistency Industrial: OSHA/ISO safety, site inspections, PPE adherence Corporate: credential checks, identity verification, follow-up tasks
Before / after metricPlaceholder: dashboard adoption, open findings, task closure, re-audit improvement, and verification turnaround.
Assessment

Ready-to-Use Evaluation Patterns for Six Verticals

p3m.ai includes configurable templates for sectors where observation, compliance, staff quality, and improvement tracking must be systematic.

Education

Classroom observation, leadership review, NEP or institutional compliance, student assessment, and psychometric profiling.

Healthcare

Nursing quality, sterilisation compliance, medication adherence, staff identity checks, and patient safety protocols.

Corporate, BFSI, Industrial & Hospitality

Agent quality monitoring, KYC compliance, OSHA/ISO safety audits, brand standards, hygiene compliance, and franchise consistency.

A Five-Rung Rollout Model

Enterprise evaluation platforms need adoption design, not just software access. We start with one high-value use case, prove the measurement model, then expand across departments and sectors.
1

Evaluation readiness assessment

We identify the audit, assessment, or compliance workflow where structured observation will create the fastest measurable improvement.
2

Template and scoring pilot

We configure the rubric, templates, roles, and success metrics, then run a focused pilot with a before/after measurement baseline.
3

Production rollout

Dashboards, workflows, user roles, data controls, and reporting formats are hardened for daily operational use.
4

Expand across templates and cohorts

Once the first workflow is stable, we add adjacent templates, departments, cohorts, locations, or stakeholder groups.
5

Managed improvement operations

Ongoing rubric tuning, report review, template expansion, task closure governance, and re-audit cycles keep improvement moving.

From One Audit Workflow to an Evaluation Operating System

p3m.ai starts with a concrete evaluation use case, then expands into dashboards, task closure, psychometrics, identity, and sector-specific templates.
Governance

Enterprise controls

Custom frameworks, user roles, SSO-ready enterprise deployment paths, dedicated support, and secure data handling.

Measurable Traction Across Evaluation Workflows

p3m.ai already speaks in the language enterprise sponsors expect: reports generated, organisations served, templates available, and confidence in AI-assisted analysis.
2,500+ reports

Audit reports generated

Structured reports turn observations into root-cause analysis, scores, and action plans that can be shared with stakeholders.

100+ templates

Ready-to-use evaluation library

Education, healthcare, corporate, banking, industrial, and hospitality templates can be configured to match local standards.

50+ organisations

Operational adoption

Teams use p3m.ai to standardise observation, compare cohorts, manage improvement tasks, and verify progress over time.

AI-Native Evaluation With Enterprise Operating Discipline

p3m.ai is designed for organisations that need configurable frameworks, secure data handling, role-based workflows, dashboards, and repeatable evidence of improvement.
AI layer
Identity Verification
Psychometric Profiling
Operational workflow
Dashboards & Analytics
Task Manager
Stakeholder Workflows
Enterprise ecosystem
p3m.ai
CPN Agent Delivery
CostKatana Governance
Secure Data Handling
Audit Trails & Reports

p3m.ai: Frequently Asked Questions

What is p3m.ai?

p3m.ai is Hypothesize's AI-powered evaluation intelligence platform for structured audits, assessments, psychometrics, AI video review, dashboards, task management, and identity verification.

Which sectors use p3m.ai?

Education, healthcare, corporate, finance (BFSI), industrial, and hospitality teams that need consistent observation, compliance, and measurable improvement.

What can p3m.ai measure?

Criterion-level audit scores, psychometric and aptitude profiles, AI video audit results, dashboards and trends, task closure, and identity verification, with AI-generated root-cause reports.

How much traction does p3m.ai have?

2,500+ audit reports generated, 100+ ready-to-use templates, and 50+ organisations using it to standardise observation and track improvement over time.