AI Audit
Scored diagnostic across people, process, tools, data. Gap between stated and actual process. First-principles redesign brief.
- AI readiness report
- Process audit & redesign
- Data quality assessment
- Opportunity map + Level 2/3 scope
/ ˈaliːθeia / — Greek: truth, disclosure, unconcealment
Not in theory. In production. Audit first, then foundation, then agents. One firm, one methodology.
Built for revenue leaders at
Series A–C SaaS · PE & VC-backed · Fintech, Cyber, B2B
Truth first. Then foundation. Then agents.
Where you stand. What’s blocking you. What to do first.
Data, process, tooling & people ready for AI at scale.
Forecasting, lead intel, training — grounded in evidence.
You’re not automating a broken process. You’re accelerating a sound one. That’s the difference between AI that compounds over 24 months and AI that gets decommissioned after six.
Each tier builds on the last. Start with the audit.
Scored diagnostic across people, process, tools, data. Gap between stated and actual process. First-principles redesign brief.
Audit → foundation. Framework design, pipelines, ontology-driven AI. AI Alchemist Academy.
Agents, forecasting, lead intel — all grounded in verified evidence. Citation enforcement. 4 patents pending.
DAG-based reasoning and validation checkpoints so unverified outputs never propagate.
We use Directed Acyclic Graph (DAG) pipelines for AI decision workflows.
Nodes:
Benefits:
We develop enterprise ontologies that define key business entities, relationships, and terminology. Each department maintains its domain ontology layer; AI agents are trained against these ontologies for better semantic reasoning and context accuracy.
Examples:
Evidence and automation where it matters.
Guesswork → Bayesian forecasting on your pipeline. 15%+ accuracy lift. Interrogate the number, don’t defend it.
Coaching doesn’t scale → Quinn: voice/avatar simulation, competency tracking. Measurable qualification-to-SQL lift.
Deals slip silently → Signal-based detection. Stalled deals, at-risk dates. Surface risk before the post-mortem.
Time-to-quota is expensive → Structured onboarding + AI coaching. Evidence on what shortens the curve.
NRR is the number → Behavioral signals ranked by revenue impact. Who’s expanding, who’s slipping.
Last year’s spreadsheet → Planning grounded in pipeline, capacity, conversion. Evidence-based, not political.
Patterns buried in Gong & CRM → RAG synthesis. Win/loss themes, competitor frequency. Fix what’s losing deals.
2–3 days per quarter on decks → Automated pull from CRM, finance, product. Board-ready in hours.
Alítheia was founded by Christopher Walker, Principal Growth and Transformation Leader at Intuit (Fortune 258), leading growth and transformation for Small Business — $600M per year in net new revenue.
Before revenue: US Army, six years. NCO Academy. Battalion Scout Sniper Platoon. Deployments to Afghanistan (CENTCOM QRF), Europe (NATO crisis reaction), CJSOTF-A.
The methodology we deliver is formalized and productized for organizations ready to build on truth.
Underlying architecture behind Level 3.
The AI Audit is the right starting point for almost every organization. Low-friction to approve. Fast enough to produce output before the quarter ends. Most audit clients proceed to Level 2; most Level 2 clients proceed to Level 3.
Alítheia AI Consulting · Austin, TX · Christopher Walker, Principal