Organizational
AI
Consulting.
Most companies are using AI. Far fewer are using it on purpose. We help you define policy, evaluate vendors, deploy responsibly across teams, and measure ROI on every AI dollar.
Plain English
What is
Organizational AI Consulting?
Organizational AI consulting is the structured work of turning ad-hoc AI experimentation into a governed, measurable, value-producing program. It covers policy and governance, use-case discovery and prioritization, vendor and platform evaluation, responsible deployment, change management, and ROI measurement. Done well, AI stops being a line item and starts being a multiplier.
What's Included
What's
In Scope
AI Readiness Assessment
Score your organization across governance, data, vendor strategy, adoption, and risk. Most clients land at 40 to 50%; we move them to 80%+ in 90 days.
Policy & Governance
AI use policy, data classification rules, model approval workflows. Aligned to NIST AI RMF, ISO 42001, and EU AI Act where applicable.
Use-Case Discovery
Workshops to find the 20% of use cases driving 80% of value. Scored by feasibility, business impact, and risk. Roadmap that's actually fundable.
Vendor & Tool Evaluation
Vendor-neutral comparison across OpenAI, Anthropic, Google, Microsoft, AWS Bedrock, and the open-source stack. Cost, performance, risk, and lock-in evaluated honestly.
Pilot to Production
Stand up the first 2 to 3 high-value pilots with metrics from day one. Then operationalize: monitoring, evaluation pipelines, human-in-the-loop where needed.
Adoption & Training
Change management, role-based training, and internal community-of-practice design. AI lands when people use it, not when it's deployed.
How We Engage
Our
Approach
-
Assess
Two-week sprint to baseline your AI readiness, current usage, shadow-AI exposure, and value opportunities. Executive briefing at end.
-
Govern
Policy, classification, approval workflow, and risk framework written and ratified. Foundation for everything that follows.
-
Pilot
Two to three production-ready pilots stood up with measurement in place. Real users, real outcomes, real numbers.
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Scale
Adoption playbook, internal community, ongoing measurement, and quarterly governance reviews. Optional managed support.
Vendor-Neutral
Platforms We Work Across
Who This Is For
You'll Recognize
Yourself Here
Boards asking 'what's our AI strategy?'
You need a defensible, real answer, not a deck of buzzwords. We help you draft one that survives scrutiny.
CIOs facing shadow AI
Half your employees are pasting confidential data into ChatGPT. You need policy, tools, and approved alternatives, fast.
CFOs questioning AI spend
Real ROI measurement, not vendor case studies. We model and measure value capture.
Regulated industries
Healthcare, finance, legal. You need governance that survives audit. NIST AI RMF, ISO 42001, EU AI Act baked in.
Companies past pilot, stuck on scale
You ran a great pilot and adoption stalled. Usually it's an adoption problem, not a tech problem. We know the playbook.
M&A integrators
You acquired a company with its own AI footprint. We harmonize policy, tooling, and risk posture.
Partner of Choice
Why Tech Critic for AI
Senior consultants, not pyramid staffing
Every engagement is led by a partner-grade consultant. No 'sold by the partner, delivered by an associate' bait-and-switch.
Fixed-scope, milestone-based
Written estimates before any work begins. Most engagements are priced by deliverable, not by the hour.
Vendor-neutral
No partner kickbacks, no software resale incentives. We recommend what's right, not what pays.
We own the outcome
From discovery through delivery through 90-day post-launch tune-up. We don't disappear after kickoff.
Five offices, one standard
Dallas HQ, Bogotá and Medellín for LATAM nearshore, plus Lahore and Dubai. Every office is ours. We don't outsource.
Cross-disciplinary by design
Most engagements pull from multiple practices, data, change, software, strategy. One firm, no integration tax.
You've Got Q's
We've Got A's
Don't see your question? Just ask.
What frameworks do you align to?
NIST AI RMF, ISO 42001, EU AI Act, plus industry-specific overlays (HIPAA for healthcare, SR 11-7 for banking model risk, FDA 21 CFR Part 11 for life sciences). We map to whichever drive the most leverage for your business.
Are you tied to a specific AI vendor?
No. We hold partner credentials across OpenAI/Azure, Anthropic, Google, AWS, and Microsoft, but we don't take resale margin. Recommendations stay vendor-neutral.
How long until we see ROI?
Most clients see measurable productivity ROI within 90 days from a well-scoped pilot. Cost-savings and revenue-impact use cases generally take 6 to 12 months to mature.
Can you help with AI policy?
Yes. Policy, data classification, model-approval workflow, third-party risk review, and incident response for AI-specific risks. We draft, you ratify.
What about model training and fine-tuning?
Most clients shouldn't train their own foundation models. We help you decide when fine-tuning or RAG is the right path versus when prompt engineering plus governance is enough.
From AI Curious to AI Capable.
Book a 30-minute readiness call. We'll walk through where you are and what the next 90 days could look like.