Enablement • Co-build Sprints • Prototype → Production
Teach your org to ship with agents.
Workshops + guided builds that embed skills, ship software, and make change cheaper.
- ≤ 4 weeksTime‑to‑Pilot
- 98.7%Tool‑call reliability
- $$$Return on Investment
Organizational Readiness
Equip leadership and squads to ship agentic work responsibly.
We help you pick the right audiences, give them proven tools, and run live working sessions that turn AI pilot talk into accountable, repeatable delivery.
Programs start at $3,750
Teach
Give every team a shared language about AI, the tools, and safety.
- Immersive briefings that demystify foundation models, copilots, and agents.
- Safety, privacy, and compliance primers tuned to your policies.
- Hands-on labs that show how AI changes day-to-day workflows.
Evaluate
Train people to spot automation and agent-driven opportunities.
- Opportunity scorecards for throughput, accuracy, and business impact.
- AI-forward process mapping sessions to surface viable candidates fast.
- Playbooks for estimating effort, cost, and guardrails before writing code.
Learn to Ship
Run safe build weeks that turn the best ideas into shipped software.
- Co-build sprints that pair developers with operators on real use cases.
- Agentic development patterns: flags, evals, audit logs, and approvals.
- Deployment and change-management templates so releases land cleanly.
Enablement Assets
Delivered as editable docs, dashboards, and scorecards.
Readiness Dashboard
Single view of audiences, capability scores, and launch windows.
Agent Playbook Library
Curated prompts, checklists, and governance patterns for your stack.
Executive Enablement Kit
Briefings, talking points, and ROI calculators for every stakeholder.
Prototype in the Room
Co-build the production-ready slice with your team in the room.
We embed with your core squad for concentrated co-build sessions. Every artifact — from prompts to playbooks — is tailored to your controls so you can ship the pilot without waiting on a vendor roadmap.
Engagements start at $7,500
Engagement cadence
A rapid cycle from sponsor alignment to production rollout.
Sponsor Alignment
Week 0
- Stakeholder map, success metrics, and access plan locked inside 5 days.
- System inventory + policy review so we respect data, auth, and logging from day one.
- Pilot brief with "ask-to-act" guardrails and decision checkpoints.
Prototype in the Room
Week 1
- 2–3 co-build sessions (90 minutes each) with paired engineers + domain leads.
- Agent flows wired into your stack: tool calls, approvals, and observability.
- Play-by-play documentation, prompts, and a replay library for downstream teams.
Pilot to Production
Week 2+
- Hardening sprints for auth, data residency, and reliability.
- Rollout playbook with training, change comms, and KPI instrumentation.
- Exit criteria for production handoff or scale-up engagement.
What you leave with
Every engagement ships with accountable artifacts.
Executive Readout
Live session summarizing KPI lift, backlog, and go/no-go decisions.
Operations Runbook
Detailed runbooks covering support, escalations, and retraining cadence.
Platform Integration Map
Diagram of systems, credentials, and monitoring so security signs off fast.
Why this, why now
The blocker isn’t AI — it’s how you ship.
Most organizations run isolated AI experiments. Agent-driven development turns those experiments into production workflows by co-building thin, ownable slices that plug into your systems and respect your controls.
Weeks, not quarters
Guardrails from day one
Own the core flows
Decide with real numbers
Why teams stall
- Work crosses tools; people do the glue work. Effort scales with headcount, not outcomes.
- Change waits on vendor roadmaps and brittle integrations; small tweaks take weeks.
- Licenses pile up while the 20% you actually use drives 80% of the value.
What changes with agents
- Co-build in the room. We design, wire tools, and ship a thin, ownable slice.
- Ask-to-act governance, least-privilege access, and full audit trail from day one.
- Build-vs-buy math included: TCO, payback, and a 30-60-90 plan to reach production.
Where we start
- Help your team develop a common language about AI.
- Identify processes and software that are ideal candidates for agentic workflows.
- Develop a repeatable methodology for rapid opportunity identification and scoring.
Bring one real workflow. Leave with a working slice, logs, and a decision backed by numbers.