How long does an assessment take?

3 to 5 weeks depending on scope. Week 1: kickoff, stakeholder interviews, data collection. Weeks 2 to 3: architecture review, LLM evaluation, compliance mapping. Weeks 4 to 5: writing, review with your team, executive presentation.

$45K to $120K depending on scope. Standard architecture assessment for one business unit: $45 to 65K. Multi BU or multi region: $75 to 120K. Fixed scope, fixed price: the deliverable ships regardless of whether you hire us for implementation.

Do you work with in house AI teams or replace them?

Work with. Most enterprise AI teams have the talent; they need external perspective on architecture and compliance. Our consulting engagements almost always land with an in house team executing the roadmap, occasionally with us in an advisory or team augmentation role.

What if your findings say we don't need to invest in AI?

We say it. About one in six engagements ends with 'you don't need this: here's what to fix first.' Reputation compounds; short term revenue doesn't. If AI isn't the right investment, we tell you.

Consulting & Delivery

AI Technology Consulting

Senior architects who audit your stack, map compliance constraints, and hand you a roadmap you can execute on: regardless of whether you hire us to build it.

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What is AI technology consulting?

The Answer

AI technology consulting is strategic advisory on LLM selection, knowledge graph feasibility, compliance mapping, and AI roadmap engineering for large enterprises. We assess your existing systems, benchmark vendor options (OpenAI, Anthropic, open source, on-prem), and hand off a 12–24 month roadmap with build-versus-buy trade-offs.

What you get

Three outcomes we commit to before we start.

Written deliverable, not a slide deck

You get a 30 to 60 page findings document: current state architecture, gaps mapped to specific controls (SOC 2 / HIPAA / PCI), prioritized roadmap with effort and ROI estimates. Your team can execute on it without us.

$50K+ savings identified before we start

In every assessment we've run, we find at least three documented savings opportunities worth $50K+ each: inefficient LLM spend, duplicated infrastructure, or licensing that's paying for capacity you don't use.

Independent: no vendor kickbacks

We recommend the right platform for your context, not the one that pays us. Zero vendor referral fees, zero reseller arrangements. If Neo4j is right, we say Neo4j; if your existing Postgres will do, we say Postgres.

The Guaranteed Production Pilot

Fixed scope · Written target

A production AI Technology Consulting system in your VPC: audited, documented, owned by your team.

Not a slide deck and not a sandbox demo: a working AI Technology Consulting deployment inside your own cloud boundary, mapped to your compliance controls and handed over with the schema, the eval harness, and the runbook.

Speed

Architecture and success criteria signed off in week one. First working slice running in your environment inside 30 days.

Zero effort

Fully done for you. Our senior squad owns ontology, build, evals, and compliance mapping: your team reviews and signs off, nothing more.

Risk reversal

Fixed scope, fixed price, and a measurable success target agreed in writing before we start. Miss the target and you don't pay for the pilot.

Request a scoped pilot

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