Strategic AI Consulting

Decide where AI should start, what should stay human, and which pilot is safe enough to test before buying tools or committing to a build.

Request an AI opportunity assessment

See if this service fits

Confirm who the service is for, what the first engagement includes, and what the available evidence can support.

Who this service is for

For owners, operators, and technical leaders who know AI should matter to the business but need help deciding where to start, what not to automate, and how to avoid buying tools that never become part of daily work. This is for teams that want a practical roadmap before committing to a build.

Where teams get stuck

Leadership sees many possible AI use cases but no clear priority order.
Teams are experimenting with tools without shared standards, data rules, or ROI criteria.
Vendors are pitching broad platforms before the business has defined the workflow.
Security, compliance, approvals, or customer trust concerns are slowing decisions.

What the first engagement includes

We review your business goals, candidate workflows, data, approvals, and decision constraints. BaristaLabs ranks the candidate workflows by value, effort, and risk, then recommends one pilot. The assessment records the pilot's data and approval boundaries, material risks, and stop conditions. It ends with a clear decision to build, revise, defer, or stop.

Adjacent delivery proof and first-assessment evidence

The anonymized AKS case is adjacent delivery proof. It shows that BaristaLabs resolved subnet and VM-capacity blockers and completed the upgrade with zero application downtime. It does not report the result of an AI opportunity assessment or AI pilot. A first assessment should leave ranked candidate workflows, one recommended pilot, its data and approval boundaries, material risks, stop conditions, and a clear decision to build, revise, defer, or stop.

Review the adjacent AKS remediation case

Choose the next step

Bring up to three candidate workflows. We will use the first call to decide whether an assessment is useful and what it must resolve.

Request an AI opportunity assessment

What this service can cover

Use-case discovery ranked by value, effort, and risk
Workflow, data, security, and approval boundary mapping
First-pilot recommendations with defer/avoid notes
Tool and architecture direction after the workflow is clear
Roadmap output your team can review before implementation

Compare the engagement boundary

Review what assessment, discovery, implementation, handoff, recurring costs, and optional support should make explicit.

Compare pricing and engagement stages

Likely build stack

Opportunity mapsRisk reviewsPilot scopesArchitecture notes

Prepare for discovery

If this service looks relevant, use these resources to prepare a focused first conversation. Start with the item that matches your next decision.

Bring up to three candidate workflows. Use these guides and worksheets to compare discovery and pilot work, define the first boundary, and record what should be deferred.

guideAI discovery vs. AI pilotCompare the purpose, inputs, outputs, timing, evidence, and valid stop decisions for each stage.guideConstructed AI opportunity map exampleInspect how three fictional workflow candidates can be compared, why one advances conditionally, and how its first pilot boundary records human review, stopping, and deferred work.worksheetAI implementation path decision matrixCompare SaaS, chatbot, automation platform, DIY, contractor, consultancy, and boutique implementation paths against one named workflow.guideAI pilot proof packetDefine the evidence a first pilot must leave behind before the team expands it.guideAI workflow controls guideReview the controls that keep AI workflows scoped, inspected, and reversible.worksheetAI approval policy worksheetTurn “human in the loop” into operating rules for the first workflow.worksheetAI workflow security review worksheetDefine the data fields, vendor exposure, allowed actions, approvals, retained evidence, and rollback path before choosing a pilot.case studyAdjacent delivery proof: CartWheels platformSee the customer-facing website and app, intuitive UI, and customer communication channels that BaristaLabs delivered after earlier vendor attempts stalled. The case does not report the result of an AI opportunity assessment or AI pilot.guideModel Facts RegisterTrack model facts that go stale: region, quota, lifecycle, retention, SDK behavior, review cadence, and fallback.guideAnalytics Agent Source-of-Truth RegisterName the metric owner, source, grain, freshness rule, and review trigger before an analytics agent answers business questions.

Assessment artifact

Bring three candidate workflows

Bring three candidate workflows and, for each one, the owner, current problem, data involved, required approvals, material risks, and the result that would make a pilot useful. The assessment should rank the candidates, recommend one pilot, define its data and approval boundaries, record stop conditions, and end with a clear decision to build, revise, defer, or stop.