01 — Assess your readiness
Take our diagnostic to assess your readiness for AI-native delivery.
Understand where your organization is ready to capture AI-enabled delivery value — and where constraints remain.
Take the diagnostic
TalentSavvy
We help technology organizations turn AI-powered delivery into business value.
Turn AI ambition into measurable business impact.
Build the teams. Change how work gets done. Prove what delivers.
Transform
Services
Adapt your organization for AI-powered delivery.
Transform changes how work, teams, delivery and enterprise capabilities operate for AI-native delivery.
Manage
SaaS Product
Understand the teams that deliver the work.
ManageTeam provides a living view of persistent teams, people, capabilities and investment.
Improve
SaaS Product
Measure what the organization delivers.
ImproveTeam connects meaningful work to production to measure delivery outcomes and the impact of AI.
Do you recognize these symptoms?
AI is accelerating software execution. Your organization may not be keeping up.
How many of these symptoms do you recognize in your organization?
- 01AI spend / value
Your AI token usage has increased dramatically — but you still can't explain the value of that investment to your CFO.
- 02Review / remediation
AI is making coding faster — and now your senior engineers are over-burdened with code reviews, remediation and integration.
- 03Security risk
AI is generating code faster — and your security vulnerabilities are increasing faster than your controls can catch them.
- 04Technical debt
AI is generating code faster than your teams can understand and govern it — and technical debt is starting to compound.
You may not see the business impact yet. But your organization is already telling you where AI is creating pressure.
Across technology organizations, AI adoption is creating remarkably similar
constraints.
From AI activity to business value
The burning platform
AI often accelerates individual tasks — while magnifying bottlenecks in the flow.
Work item A
Developwith AI
Human Gate
AI completes its part quickly, but the next step waits for human review, approval or intervention.
PR review · Test acceptance · Security / architecture approval · Exception handling
Testwith AI
Deploywith AI
Delivered
Work item B
Developwith AI
Testwith AI
Work Dependency
Work stops while another team or work item completes a dependency.
API dependency · Shared capability · Another team’s deliverable
Integratewith AI
Deploywith AI
Work item C
Developwith AI
Testwith AI
Integratewith AI
Release Coupling
Completed work may not create value until the larger increment or release is ready to ship.
Part of a larger epic · Multiple work items required · Integrated release
The conundrum
You can dramatically increase coding capacity without increasing delivery capacity.
When review, coordination and release decisions remain human-dependent, coordinators, tech leads and other critical roles can become the constraint — absorbing more work as AI increases the volume of tasks moving through the system.
AI-native delivery
AI-native delivery keeps work moving from intent to production.
Small, independently shippable work, AI-enabled execution and automated guardrails allow teams to move from intent to production with human intervention reserved for judgment, exceptions and risk.
Explore the model · Click any component to learn more
Explicit stories → Business intentIndependently shippable workHuman approval → Increasingly automated
Human judgment moves to where it creates the most value.
People set direction, define boundaries and handle exceptions. AI handles more of the execution in between.
AI activity → Business value
The real measure of AI adoption is whether your technology organization is delivering more business value.
Business-oriented work items are the right unit for measuring AI's impact on delivery.
A meaningful work item describes something the business or its customers can actually use, experience or benefit from.
Business-oriented
Enable a member to update their beneficiary online.
Supporting technical work
Work item 1Build beneficiary update API.
Work item 2Update front end to support beneficiary changes.
Business-oriented work gives technology and business stakeholders a common measure of delivery. Technical work is necessary — but splitting work into smaller technical units in an agentic setting can obscure dependencies and create bottlenecks between them.
Primary delivery measures
Supporting measure
Capacity
How do changes in team capacity affect delivery performance?
Following work to production
Tracking a business work item all the way to production is harder than it sounds.
A business work item gives you something meaningful to measure. But once work enters engineering, it can spread across multiple systems, teams and delivery paths — making it difficult to know exactly what reached production.
The challenge isn't collecting the data. It's connecting the relationships.
AI-Native Delivery