Services
Ten focused practices covering the full AI lifecycle. Each service auto-maps to the right tools in our Technology Map via a shared capability layer — so the stack you see below is the same stack we'd actually deploy.
Our execution cycle
Six layers. Clear owners. Hard exit criteria.
Most AI work stalls because nobody agrees on what "done" looks like for each phase. We run every engagement through the same operating cycle — each layer has explicit inputs, activities, a deliverable, and an exit criterion you sign off on before we move forward.
- 01
Discover
Week 1 · Strategy lead + your operators
- Inputs
- Stakeholder interviews, current stack, KPIs, friction logs
- Activities
- Map the value chain & decision points
- Shortlist 3–5 candidate use cases
- Quantify baseline metrics & ROI thesis
- Deliverable
- Opportunity brief + ranked use-case backlog
- Exit criterion
- Sponsor signs off on the #1 use case and success metric
- 02
Design
Week 2 · Solution architect + product lead
- Inputs
- Approved use case, data inventory, integration map
- Activities
- Reference architecture & capability map
- Data model, retrieval & evaluation plan
- Governance, access, and human-in-the-loop policy
- Deliverable
- Solution blueprint + tool stack + RACI
- Exit criterion
- Architecture review passed; build estimate locked
- 03
Build
Weeks 3–6 · AI engineers + platform engineers
- Inputs
- Blueprint, sandbox data, API access
- Activities
- Implement workflows, agents, prompts, and evals
- Wire integrations, auth, and observability
- Iterate against a measurable quality bar
- Deliverable
- Production-grade pilot, behind a feature flag
- Exit criterion
- Eval suite green; pilot meets defined acceptance criteria
- 04
Deploy
Weeks 6–8 · Implementation lead + your IT/security
- Inputs
- Pilot artifact, change plan, security questionnaire
- Activities
- Security & privacy review, secrets and SSO wiring
- Staged rollout (pilot cohort → team → org)
- Runbook, on-call, rollback plan
- Deliverable
- Live rollout with monitoring & guardrails
- Exit criterion
- First production cohort using it weekly, with no SEV-1s
- 05
Operate
Ongoing · Enablement + your team leads
- Inputs
- Usage telemetry, support tickets, user feedback
- Activities
- Training, office hours, internal champions program
- Weekly quality review & prompt/model regression checks
- Cost & latency tuning
- Deliverable
- Adoption playbook + operating cadence
- Exit criterion
- ≥60% target-user adoption and stable cost-per-task
- 06
Optimize
Quarterly · Strategy + analytics
- Inputs
- KPI deltas, win/loss notes, new tooling landscape
- Activities
- KPI review vs. baseline & ROI thesis
- Expansion plan: next use case, next persona, next region
- Retire or refactor underperforming workflows
- Deliverable
- Roadmap update + quarterly business review
- Exit criterion
- Next quarter's bets funded with evidence from this one
Not sure which services fit?
Answer 9 quick questions and get a personalized 30/60/90-day roadmap — we'll recommend which of the services below to run, and in what order.
AI Strategy Consulting
A 2-week diagnostic that names the 3 workflows where AI pays back in 90 days — with ROI math, a tool shortlist, and a sequenced 30/60/90 plan your CFO will sign.
Auto-matched tools
Book an AI Strategy Call
AI Workflow Automation
Ship a production automation in 4–6 weeks: triggers, AI steps, integrations, approvals, and observability — measured in hours saved and error rate, not demos.
Auto-matched tools
Build My Automation Roadmap
AI Agents & Business Assistants
Agentic systems with tool-calling, retrieval, memory, and human-in-the-loop guardrails — the same pattern behind our HomeHealthQ and Mazall Connect deployments.
Auto-matched tools
Build My AI Agent Roadmap
AI Knowledge Base / RAG Systems
Retrieval-grounded assistant over your SOPs, contracts, and tribal knowledge — with citations, access controls, eval suites, and a quality bar you can defend in audit.
Auto-matched tools
Plan My Knowledge System
AI Product & Tool Reviews
10-dimension vendor scoring (capability, data policy, integrations, TCO, lock-in) plus a sandbox pilot on your real workflow — delivered as a buy/skip recommendation.
Auto-matched tools
Request a Product Review
AI Website, Content & Marketing Systems
End-to-end content engine: brand-voice prompts, editorial workflow, SEO research, programmatic pages, and personalization — the same stack powering HomeLifeQ.
Auto-matched tools
Plan My Content Engine
AI Sales & CRM Intelligence
AI inside your CRM: lead scoring tuned to closed-won, call/email summarization, next-best-action, and proposal drafting — measured against pipeline velocity, not vanity opens.
Auto-matched tools
Tune My Sales Engine
AI Operations Intelligence
Pipe scattered ops data into one warehouse, then layer AI summaries, anomaly alerts, and a weekly executive brief — so leadership reads the business, not the spreadsheets.
Auto-matched tools
Design My Ops Dashboard
AI Governance, Risk & Compliance
Usage policy, data-classification gates, vendor risk reviews, prompt-injection controls, and audit trails — grounded in real FedRAMP/FISMA delivery experience.
Auto-matched tools
Set Up My AI Guardrails
AI Training & Team Enablement
Role-based workshops (sales, ops, finance, exec) with workflow-specific prompt libraries, verification SOPs, and an internal champions program — measured by 30-day adoption.
Auto-matched tools
Plan My Team Training