RedSage Labs
RedSage Labs
AI Solutions

AI Consulting

When the decision is expensive and the expertise is not in-house, borrow ours.

Engineering blueprint hologram under review

Not every problem needs a build. AI Consulting gives your leadership and engineering teams direct access to senior AI architects for the decisions that are hard to reverse: platform choices, architecture reviews, model selection, team design, and vendor negotiations. Engagements are structured as retained advisory or fixed-scope reviews, so you get senior judgment without a transformation program attached.

The Challenge

Your AI roadmap is a slide deck, not a plan. Initiatives have names, but nobody has costed or sequenced them.

Every vendor claims their platform is the answer, and you have no independent way to evaluate the claims.

Pilots keep starting and stalling. Nothing has reached production in two quarters.

You are about to sign a multi-year contract you cannot technically evaluate.

Our Approach

We work in short, defined engagements. A consulting sprint runs two to four weeks: we review your architecture, interview your team, and interrogate your vendor proposals. You get a written findings report with specific recommendations, not a framework diagram.

Every recommendation arrives with the reasoning attached - what we considered, what we rejected, and why. If the honest answer is that you do not need a custom build, or that your data is not ready, we say so and document it.

Capabilities

Architecture review: Independent assessment of your AI stack - models, pipelines, infrastructure - with a written findings report.

Vendor and platform evaluation: Structured comparison of tools and vendors against your requirements, contract traps included.

Model selection: Which model, hosted or open-weight, for your use case, cost profile, and data constraints.

Team and hiring design: What your AI team should look like, which roles to hire first, and what to outsource.

Technical due diligence: For investors and acquirers - an honest read on the AI claims inside a target company.

Execution Process

01 //

Scope

One working session to define the decision, the constraints, and the deadline.

02 //

Investigate

We review your systems, documents, and data - and talk to the people who run them.

03 //

Recommend

A written recommendation with options, trade-offs, and a clear call.

04 //

Support

We stay available while you execute, so the recommendation survives implementation.

Business Outcomes

Senior AI judgment without a senior AI hire.

Expensive decisions get an independent second opinion before they are irreversible.

Vendors negotiate against someone who reads the architecture, not the brochure.

Your team learns while we work - knowledge transfer is part of every engagement.

Fixed scope and fixed fee: no open-ended transformation program.

Deliverables

Written findings and recommendation report
Architecture or vendor comparison matrix
Decision briefing for leadership
Implementation notes for your engineering team
Retained advisory access (optional)

Technologies

OpenAI
Anthropic
Google Gemini
LangChain
Pinecone
AWS Bedrock
Azure OpenAI

Frequently Asked Questions

Yes. Fixed-scope reviews are the most common format - one decision, one report, one fee.

We can, through our AI Implementation practice - but the advice stays honest because a "do not build" answer is always on the table.

Senior architects who build production AI systems, not analysts reading from frameworks.

AI Consulting

Senior AI counsel on tap - architecture reviews, vendor decisions, and hard technical calls without a full engagement.

Talk to an advisor