Your teams don't need another tool rollout. They need a fundamentally new way of working. Improving's Deep Learning Program embeds expert coaches directly with your product teams to drive real AI adoption — not just tool deployment. The result: smaller, faster teams delivering more with AI-augmented workflows across the entire software development lifecycle.
Why Team-Level Enablement Matters
The Tool Bottleneck
Simply deploying AI tools only moves the needle 2–3% — that's not where the bottleneck is.
The Adoption Gap
Organizations without embedded coaching and process change often see less than 10% adoption rates.
Real Efficiency
True speed comes from shortening the distance from Product Definition → Client Feedback → Development.
Collective Enablement
Teams must be enabled together, not as individuals, because AI changes how the whole team collaborates.
Psychological Safety
Team members need support as their roles evolve from narrow specialists to broader AI-native builders.
Measurable ROI
We measure success in velocity (cycle time, deployment frequency) and quality (defect rates, code review speed)
The Deep Learning Program
12 Weeks. 6 Workshops. Daily Coaching.
This isn't just classroom training. Our AI engineers work alongside your teams daily, turning concepts into habits. While tooling alone provides only 18–25% efficiency gains, embedded coaching drives lasting adoption.
We include Organizational Change Management from day one. An Enterprise Coach establishes a Guiding Council and builds adoption dashboards to ensure alignment across the organization.
Weeks 1-4: Product Definition
AI foundations, prompt engineering, AI-assisted requirements and prototyping
Weeks 5-8: Product Build
AI coding assistants, test-driven development, agentic workflows, MCP integration
Weeks 9-12: Validation & Platform
AI-powered testing, infrastructure automation, security/compliance agents, shared skill repositories
What Makes This Different
Embedded Coaching, Not Classroom Training
Our AI engineers work alongside your teams daily, turning concepts into habits. Research shows tooling alone provides only 18–25% efficiency gains. Embedded coaching drives lasting adoption.
Three Dimensions of Change
We don't just change tools. We transform how your teams work across Tools (AI capabilities in daily workflows), Process (integrated product development replacing sequential handoffs), and People (broader scope through AI augmentation).
Organizational Change Management Built In
An Enterprise Coach establishes a Guiding Council, builds adoption dashboards, and manages communication across your organization. Change happens at every level — enterprise, team, and individual.
The Shift: How Your Teams Evolve
FROM: Traditional Specialists
Siloed Specialists: Large teams of individual specialists tied to single roles (developer, QA, BA), relying on slow, sequential handoffs between departments.
Late-Stage Gatekeepers: Platform and Security teams act as downstream gatekeepers, creating bottlenecks by manually auditing compliance only at the end of the lifecycle.
Passive Oversight: PMO functions as passive oversight, struggling with visibility while relying on manual spreadsheets and time-consuming status meetings for updates.
TO: AI-Native Teams
Smaller, Faster Teams: Composed of "Product Definers" and "Product Builders" leveraging AI agents to cover multiple specialties and eliminate waiting periods.
Active Platform Engineering: DevSecOps and compliance become active participants through governance agents that audit and secure all codebases automatically.
Automated PMO: Shifts to active tooling, creating management agents for real-time status tracking, meeting transcription, and automated reporting.
AI Agent Catalog — Ready on Day One
Your teams start with a production-ready catalog of AI agents covering the full SDLC:
Discovery & Analysis
User Story Analysis, Codebase Exploration, Spike Research, Story Splitting
Planning & Design
Implementation Planning, Product Manager Agent, Architect Agent, Scrum Master Agent
Specification
BDD Workflows (Discover → Formulate → Automate)
Implementation
TDD Workflows (Think → Red → Green → Refactor)
Quality Assurance
Code Review Agent, QA Validation Agent
Orchestration
Workflow Coordination Across All Agents
Scalable Delivery
3,000+ consultants, 20+ training centers worldwide
In-person and virtual delivery options
Concurrent training tracks supporting dozens of teams simultaneously
Flexible track model: up to 6 teams per track lead, 1 embedded engineer per 3 teams
Proven at Scale
Improving deployed AI across its own 3,000-person technology organization first
Over 30% performance improvement measured internally
Weekly AI Roundtable practice in every office
Partnerships with Anthropic, Microsoft, GitHub, and other leading AI platforms
The same practitioners who led Improving's transformation now lead yours
Ready to Transform Your Teams?
Every week without AI enablement is a week your competitors are getting ahead. Let's build a customized Deep Learning Program for your organization.