Your team.
Shipping in bolts.
Buying seats for a coding assistant is not a strategy. This engagement takes the engineers you already have and rebuilds how they work around the AI development life cycle, so agents write more of the code and your people spend their time verifying it.
Four-Phase Enablement
Assess how you ship today
Map the team's current workflow, tooling, and review bottlenecks, then mark where agents earn their keep and where they add risk. No generic maturity model. A read on your repos, your delivery cadence, and your people.
- Workflow and delivery audit
- Agentic readiness scorecard
- Tool and access plan
- Risk and guardrail map
Rewire the development loop
Install the agentic loop: short spec, generate, verify cycles the team runs in hours rather than week-long sprints. Repo agent rules, MCP tooling, and an eval harness so the new speed never costs you correctness.
- Agentic workflow playbook
- Repo conventions and agent rules
- Starter eval and guardrail suite
- MCP tooling setup
Train the people, not the slides
Hands-on workshops and live pairing on your real backlog, with separate tracks for engineers, tech leads, and managers. Your team ships agentic work against production tickets before the engagement ends.
- Role-based training tracks
- Live pairing on your backlog
- Spec and prompt libraries
- Review standards for agent-written code
Manage the change so it sticks
Give managers the metrics, rituals, and governance to hold the new workflow in place, with a verification culture that keeps trust high as more of the code arrives from agents.
- Adoption metrics and manager dashboard
- Security and verification policy
- 90-day rollout plan
- Office-hours support
A Track for Every Role
Agentic development changes each role differently. Everyone trains against your real work, on the parts of the workflow they actually own.
Engineering Managers
Roll the change out without stalling delivery. Metrics that show real velocity, and rituals that keep the team honest.
Tech Leads & Architects
Repo conventions, agent rules, and a clear line between what agents own and what stays human.
Senior & Mid Engineers
Spec-first prompting, agent orchestration, and how to review code an agent wrote without rubber-stamping it.
QA & SDETs
Eval suites, regression harnesses, and testing systems that no longer behave deterministically.
Security Engineers
Guardrails, secrets handling, and a review model for everything an agent is allowed to touch.
Product Managers
Writing specs an agent can build against, and reading agentic velocity so plans match reality.
Training an existing team on agents
What the program covers, what it costs, how it starts, and how you measure whether it worked.
Pooya Golchian runs a four-phase AI enablement program. Phase one audits how the team ships today and marks where agents earn their keep and where they add risk. Phase two installs the agentic loop with repo agent rules, MCP tooling, and an eval suite. Phase three trains engineers on your real backlog. Phase four hands managers the metrics and a 90-day rollout plan.
Team enablement programs with Pooya Golchian start at $12,000. The floor covers a workflow assessment, hands-on workshops, and a rollout plan for one existing squad. Programs typically run 4 to 8 weeks, and team size and scope set the final number. Six role tracks are on offer, from engineering managers through to security engineers.
An AI enablement engagement with Pooya Golchian opens with a discovery call and a short brief on how your team ships today. Phase one then delivers a workflow audit and an agentic readiness scorecard. Programs typically run 4 to 8 weeks end to end, and each one closes with a 90-day rollout plan plus office-hours support.
Pick an AI enablement consultant who has shipped production agent systems rather than one who sells slides. Pooya Golchian has built software since 2009 from Dubai, spent the last three years on production AI, holds an MSc in Software Engineering, and wrote SpecForge, an open-source spec-driven method with hook-enforced approval gates. He trains teams inside their own repositories.
Speed follows the workflow change, never the tool purchase. Pooya Golchian rebuilt a Dubai fintech team's engineering platform on an Nx monorepo with 70+ shared components, and feature delivery ran 40% faster with 35% less duplication. The enablement program treats agentic adoption the same way, shipping a manager dashboard that tracks whether your delivery numbers move.
Engagement
Ready to train your team?
Whether you are piloting agents with one squad or rolling out across the org, book a discovery call or send a brief on where your team is today.
Team enablement programs start at $12k.
Assessment, hands-on workshops, and a rollout plan for an existing squad. Programs typically run 4 to 8 weeks, priced by team size and scope.