AI Labs

What we do

Types of work

Hands-on advisory for leaders and platform teams, backed by 25 worked examples with demos, diagrams, and delivery playbooks.

Patterns, metrics, and runnable demos for architecture reviews and pilots, from The Ops Toolbox.

Transformation assessment

1 to 2 weeks · fixed scope

Architecture & governance review

2 to 3 weeks · fixed scope

Pilot squad

4 to 8 weeks · time & materials or capped

All engagement shapes
AI portfolio & prioritization
Cut through the backlog of “we should do AI” ideas. Align use cases to measurable outcomes, risk appetite, and the systems you already run.
  • Ranked initiative shortlist with success metrics
  • Build vs buy vs partner framing per workload
  • Executive-ready narrative, not a 100-slide deck

Related examples: Transformation Discovery with Claude Structured Output, Meeting Notes to Action Items with Claude

Architecture & pattern selection
Choose the right shape: streaming agent, RAG corpus, gateway routing, durable workflow, or governed multi-step orchestration, on the cloud you are already committed to.
  • Reference architecture with explicit tradeoffs
  • Integration points to CRM, ticketing, and identity
  • Diagrams and notes your engineers can challenge in review

Related examples: Operational Copilot with Streaming Tools, Enterprise RAG on Azure AI Foundry, Policy Q&A with Seed RAG on Vercel, Multi-Model Routing with Vercel AI Gateway, Intent Routing on Amazon Bedrock

Governance, safety & human oversight
Design escalation, policy gates, and safety scoring before you grant models write access to customer-facing workflows.
  • Escalation matrix and supervisor handoff model
  • Input/output safety thresholds aligned with legal
  • Audit-friendly step timelines for orchestrated flows

Related examples: Operational Copilot with Streaming Tools, Human-in-the-Loop Approval Gates, Prompt A/B Evaluation with Structured Rubrics, Batch Ticket Triage on Vercel, Intent Routing on Amazon Bedrock, Responsible AI Gate with Azure Content Safety, Agent Orchestration on Azure AI Foundry

Pilot delivery & hardening
Stand up a six-week pilot with real routes, seed or production-adjacent data, and clear criteria to expand, or stop.
  • Working pilot in your tenant or ours, with runbooks
  • Discovery → pilot → scale playbook with honest weeks
  • Handle-time, override, and grounding metrics defined up front

Related examples: Durable Orchestration with Vercel Workflow, AWS-Native Q&A with Amazon Bedrock, Orchestrated Agents on AWS Bedrock

Platform & engineering enablement
Equip internal platform teams to own routing, observability, and reusable SDK patterns, without every product squad inventing its own agent stack.
  • Shared tool schemas and policy-as-code patterns
  • Gateway routing and cost guardrails
  • Code review standards for agentic features

Related examples: Multi-Model Routing with Vercel AI Gateway, Production Observability for AI Routes, Durable Orchestration with Vercel Workflow, Prompt A/B Evaluation with Structured Rubrics, Intent Routing on Amazon Bedrock

Technical reviews & diligence
Second opinion on vendor proposals, internal builds, or acquired products, before you sign the enterprise agreement or merge the team.
  • Risk register tied to architecture choices
  • Gaps in IAM, data residency, and eval discipline
  • Clear go / pivot / stop recommendation

Related examples: Azure OpenAI Chat Baseline, Enterprise RAG on Azure AI Foundry, Prompt A/B Evaluation with Structured Rubrics

Outcomes we repeat

How engagements tend to land when the pattern fits your context.

Architecture review or 6-week pilot

Regulated policy Q&A with citations

Financial services, insurance, and large HR policy estates

  • Citation rate above 90% on an agreed golden question set
  • Documented unknown-answer path when retrieval is weak
  • Quantified lift vs general chat baseline for audit

Pilot squad with steering forum every week

Operations copilot with human approval

Support, ITSM, and CRM-adjacent workflows

  • Read-only tools in pilot; writes only after supervisor approve
  • Handle time improvement on covered intents with quality sampling
  • Incident and override metrics in the same dashboard as cost

1 to 2 week assessment

Portfolio prioritisation and council operating model

Medium and large programmes with many AI ideas

  • Single intake scorecard and capped active pilots
  • Named champions with protected time and enablement kit
  • Scale / pivot / stop decisions documented per pilot

Architecture review then pilot on one squad

Platform standards and gateway routing

CTO office standardising models, logging, and cost

  • Default model per task type with documented fallback
  • Structured logs and eval CI on prompt or index change
  • Cost per successful task visible to finance monthly

2 to 3 week review alongside build team

Security and privacy gate before production

InfoSec review of agent or RAG going live

  • Control-to-artefact pack accepted by risk (diagrams, logs, evals)
  • Pen test on tool endpoints, not chat UI only
  • Runbook drill for disable-tools and human fallback

Workshop plus architecture review

Copilot coexistence and custom systems of record

Microsoft-centric enterprises with M365 Copilot licensed

  • Channel matrix: Copilot vs custom app vs human queue
  • Custom work scoped to CRM/ITSM writes and cite-only corpora
  • Aligned retention and safety rules across channels

What we do not sell here

Managed hosting, 24×7 model ops, or unlimited prompt engineering. Engagements are scoped to decisions, pilots, and enablement you can own, using your clouds, your data boundaries, and your escalation paths.

Next step

Talk about your next pilot

Patterns, metrics, and runnable demos for architecture reviews and pilots, from The Ops Toolbox.

Prefer the web form? The Ops Toolbox.

  • One workflow, clear metrics
  • Your cloud, your keys
  • Written handoff, not dependency