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Process conformance
Define where agentic work fits in the delivery lifecycle so planning, implementation, review, and escalation follow a shared pattern across the organization.
Agentic delivery
Agentic delivery for engineering organizations moving toward repeatable agent-first execution.
This workshop is for engineering organizations that want AI-assisted and agent-first ways of working to become coherent, governed, and repeatable across teams. It focuses on the operating model around the agent: process conformance, document contracts, prompt standards, guardrails, and autonomous delivery techniques.
5 business days
fixed workshop engagement with structured outputs
Org-wide
designed for shared engineering norms rather than isolated team experiments
Standardized
document contracts, prompt systems, and review guardrails
Practical
focused on repeatable delivery rather than AI theatre
Core output
The operating model beneath agent-first engineering.
The goal is not merely broader tool usage. It is a more coherent system for how agentic work is initiated, structured, reviewed, and adopted across teams.
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Document and prompt contracts
Standardize the artifacts agents work against, including specifications, ADRs, task briefs, review checklists, and curated prompt libraries that reduce variance in output quality.
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Autonomous delivery techniques
Establish practical patterns for decomposition, parallel execution, review passes, and human checkpoints so autonomous workflows remain trustworthy.
Included in the workshop
Primary deliverables
- agentic delivery principles for leadership, architecture, and engineering alignment
- process map for where agents participate across planning, coding, review, and release
- standardized document contracts for specifications, task briefs, ADRs, and review artifacts
- curated prompt-library structure with role-based usage guidance and ownership expectations
- guardrails for approved behaviors, escalation triggers, and human review expectations
- pilot adoption roadmap for introducing the model across teams
Starting at $9,500
Fit
Where it tends to work well
- Good fit: engineering organizations already using AI coding assistants or agentic workflows informally
- Good fit: CTOs, VPs of Engineering, platform leaders, architecture leaders, and innovation teams
- Good fit: teams that want more leverage without sacrificing review discipline
- Not fit: companies looking for generic AI inspiration without process change
- Not fit: organizations unwilling to standardize artifacts, expectations, or review norms
Workstreams
What the workshop addresses.
Agentic delivery becomes reliable when the system around the agent is disciplined. The workshop focuses on that surrounding system.
Process model
Create a delivery pattern teams can follow consistently.
Agent-first work degrades quickly when every squad invents its own method. We define where agents participate, what stages require human review, and how work should move from idea to release.
- lifecycle mapping for agent participation
- entry and exit criteria for agent-assisted work
- review-pass expectations by work type and risk
- quality gates and escalation points
- handoff rules between humans and agents
- conformance expectations across teams
Contracts and prompts
Standardize what agents work against.
Better results usually come less from clever prompting than from better contracts. We define the documents, templates, and prompt-system structure that make outputs more consistent.
- specification, ADR, task brief, and review artifact standards
- document completeness expectations and field-level guidance
- curated prompt-library taxonomy by role and task
- approved prompt patterns and anti-patterns
- ownership and maintenance model for prompt assets
- guidance for context packaging and reference material
Guardrails and autonomy
Enable autonomy without losing accountability.
The workshop defines what agents may do independently, what requires review, and how autonomous techniques such as decomposition, multi-pass review, and parallel execution should be applied.
- agent guardrails and approved behavior boundaries
- risk-tiered human approval expectations
- multi-agent or multi-pass review patterns
- parallelization techniques for larger delivery tasks
- rollback and exception-handling guidance
- pilot rollout strategy for autonomous methods
Timeline
What the 5-business-day engagement usually looks like.
This is a working workshop, not a seminar. By the end, leadership should have usable standards and a clear rollout path.
Days 1–2
Read the current system
Review current engineering workflows, tool choices, artifacts, prompt practices, review routines, and where inconsistency is causing drag.
Day 3
Run the workshop
Align leaders and practitioners on the operating model, standards, guardrails, and pilot approach.
Days 4–5
Package the system
Deliver the principles, standards, prompt-system structure, guardrails, and phased rollout plan in a usable format.
Agentic delivery does not become trustworthy because a model is powerful. It becomes trustworthy because the surrounding operating model is disciplined.
That operating model is the product.Relevant perspective
Architecture-first. Delivery-aware. Already working this way.
- Chief Architect with cross-functional experience across engineering, platform, security, and governance
- hands-on builder shipping AI-agent-led open-source software across multiple stacks
- strong fit for organizations that want practical operating discipline rather than AI theatre
- able to bridge executive concerns, engineering realities, and agentic delivery patterns
Next step
If agent-first ways of working are spreading faster than your standards, start here.
If useful, I can scope the workshop around current practices, team topology, and the level of autonomy you want to enable.