/ ˈaliːθeia / — Greek: truth, disclosure, unconcealment

From “we need an AI strategy” to “AI is running autonomously inside our business.”

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

Alítheia

Truth first. Then foundation. Then agents.

Audit

Where you stand. What’s blocking you. What to do first.

Foundation

Data, process, tooling & people ready for AI at scale.

Agents

Forecasting, lead intel, training — grounded in evidence.

Who we serve

Series A–C SaaS $5M–$50M ARR Fintech · Cyber · B2B PE & VC-backed 10–150 revenue teams

Why process comes first

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.

The three-tier model

Each tier builds on the last. Start with the audit.

1

AI Audit

$15K–$25K · 4–6 weeks

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
2

AI Ready

$40K–$80K · 8–16 weeks

Audit → foundation. Framework design, pipelines, ontology-driven AI. AI Alchemist Academy.

  • Framework design & co-building
  • Enterprise ontologies (Finance, Supply chain, Customer intel)
  • Domain ontology per department; agents trained on ontologies
  • Rebuilt pipelines + governance · Core processes + SOPs
  • Level 3 scope
3

AI Agents

$80K–$150K+ · 12–20 wks + hypercare

Agents, forecasting, lead intel — all grounded in verified evidence. Citation enforcement. 4 patents pending.

  • RAG agents · Bayesian forecasting
  • Lead scoring · Customer intel
  • 90-day hypercare

How we build

DAG-based reasoning and validation checkpoints so unverified outputs never propagate.

DAG-Based Reasoning Pipelines

We use Directed Acyclic Graph (DAG) pipelines for AI decision workflows.

Nodes:

  • Retrieval · validation · reasoning · model inference · compliance checks

Benefits:

  • Deterministic execution, reproducibility, validation checkpoints — unverified outputs never propagate.

Ontology-Driven AI Systems

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:

  • Finance ontology
  • Supply chain ontology
  • Customer intelligence ontology

Key use cases

Evidence and automation where it matters.

Sales forecast that actually closes

Guesswork → Bayesian forecasting on your pipeline. 15%+ accuracy lift. Interrogate the number, don’t defend it.

AI sales training at scale

Coaching doesn’t scale → Quinn: voice/avatar simulation, competency tracking. Measurable qualification-to-SQL lift.

Deal risk detection

Deals slip silently → Signal-based detection. Stalled deals, at-risk dates. Surface risk before the post-mortem.

Rep ramp time reduction

Time-to-quota is expensive → Structured onboarding + AI coaching. Evidence on what shortens the curve.

Churn and expansion signals

NRR is the number → Behavioral signals ranked by revenue impact. Who’s expanding, who’s slipping.

Territory and quota planning

Last year’s spreadsheet → Planning grounded in pipeline, capacity, conversion. Evidence-based, not political.

Competitive win/loss intelligence

Patterns buried in Gong & CRM → RAG synthesis. Win/loss themes, competitor frequency. Fix what’s losing deals.

Board and investor reporting

2–3 days per quarter on decks → Automated pull from CRM, finance, product. Board-ready in hours.

Who builds this

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.

Patents pending

Underlying architecture behind Level 3.

Semantic Planner for Business Data — Adaptive Query Reasoning
Algorithm Orchestration Layer — Automatic Statistical Selection
Counterfactual Business Inference Engine — Self-Validating Causal Loop
Meta-Learner Kernel for Adaptive Cognitive Orchestration — Cross-domain transfer learning

Start here

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