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Agentic Software Delivery

Agentic AI,
wrapped in real

Agile delivery

AI agents write the code. Vision, story maps, an ordered backlog, and acceptance criteria decide what they build. Working software reaches production in weeks, not quarters, built to carry the next ten features.

The prototype that stopped scaling

Your team built something real with AI and it worked. Then every new feature started breaking a feature that already worked.

Enterprises are adopting AI delivery tools faster than they are building the engineering judgment to govern them. The business wants delivery speed the IT organization cannot match.

No multi-tenant model

Customer data separation improvised

No regression safety net

A team that does not know what to ask the AI to check

The Agile loop, running faster

The loop does not change. Vision, story mapping, an ordered backlog, and rigorous acceptance criteria feed the agentic build. Every increment is demoed, and feedback rewrites the next slice. Acceptance criteria are the instruction set the agents build against, so vague input produces fragile output.

Vision
Story map
Ordered backlog
Acceptance criteria
Agentic build
Demo
Adapt

Two humans, plus agents

Two human roles are non-negotiable.

Product Owner

Owns the vision and the value, orders the backlog, and says no when the answer is no. Writes acceptance criteria that mean something, and accepts or rejects each increment.

Agentic Delivery Lead

Sets the architecture the AI builds inside. Reviews and rejects agent output. Owns tenancy, security, testing, and data, and keeps the codebase able to take the next feature.

AI agents

Write the code, tests, and migrations, story by story, against the acceptance criteria.

Four modes of AI delivery

Which mode fits depends on what you are building and how far your organization has taken AI already. All four are in active client delivery today.

01

Developer-Driven, AI-Assisted

Your developers stay at the keyboard and use AI to move faster through code, tests, and review.

02

AI-Driven Development

Agents do the building, story by story, with an Agentic Delivery Lead reviewing every increment.

03

AI Governance

Rules, review gates, and audit trails that make AI-generated work safe to run inside an enterprise.

04

AI in the Product

AI features inside the product your customers use, built and tested like the rest of the system.

Two ways to work with us

Build with us

Name one business problem. We bring the Product Owner discipline, the Agentic Delivery Lead, and the agents. Best when you need a result now.

Start the conversation

Change how you build

Coaching for your delivery organization and leadership, certified training, and the vision, story mapping, backlog, and acceptance criteria practices that hold up at agentic speed. Your own people run it after we leave. Best when the delivery system is the constraint.

Explore coaching

Most clients start with a build, and the practice spreads from there.

What this looks like in practice

Where they were

A business client built its own product with AI and a motivated team. It worked at first. Then every new feature broke something that already worked. There was no multi-tenant model, customer data separation was improvised, there was no regression safety net, and the team did not know what to ask the AI to check.

What we put in

  • A real multi-tenant model with tenant isolation at the data layer
  • A backlog and acceptance criteria the AI could build against
  • Automated checks on every agentic change
  • An Agentic Delivery Lead reviewing every increment
Agentic Agile · 2026

Your team already knows Agile.
The agentic roles are built from that.

AI agents do not wait for the next sprint. The roles that direct them are built from the Agile talent you already have.

Weeks to production

The loop stays the same. The build step inside it gets shorter.

Review on every increment

An Agentic Delivery Lead accepts or rejects what the agents produce

Your roles, evolved

Scrum Masters, Product Owners, and developers convert into the agentic roles

Built for your industry

Governance around AI adoption matters most where the rules are strictest.

Financial Services

Regulated

Delivery pipelines and compliance workflows modernized without disrupting regulated operations.

Legal

Regulated

Document-heavy workflows automated with the audit trail your matters and clients require.

Healthcare

Regulated

Clinical and operational software shipped on time, with the governance your industry demands.

Insurance

Regulated

Underwriting, claims, and policy workflows automated under real governance.

Technology & SaaS

Product delivery accelerated so your roadmap moves at the speed your market does.

Retail

Customer-facing systems built and changed quickly, without breaking what already works.

Energy & Utilities

Agility and AI brought to complex infrastructure and digital transformation programs.

National reach, with engagements from New York to Texas to California and a base in Tampa Bay.

Track record

ClearlyAgentic is the new name for the team that has operated as ClearlyAgile since 2014.

Inc. 500 Fastest-Growing Firm

25k+ Enterprise Practitioners Trained

30+ Years in Enterprise Delivery

Clients Include Disney · PwC · Entergy · Darden · Compass Group

Trusted by US Enterprises

From Fortune 500s to federal agencies, organizations that demand results choose ClearlyAgentic.

PwC
Disney
Simpson Thacher & Bartlett LLP
Darden Restaurants
Nielsen
Credit Suisse
Compass Group
U.S. Dept of Veterans Affairs
Entergy
World of Beer

Our Technology Partners

Google Cloud Partner
Microsoft Certified Partner
AWS Partner Network
Enterprise Agility Network
PMI Manifesto Aligned

Aligned with the PMI Manifesto for Enterprise Agility

The new PMI + Agile Alliance Enterprise Agility Manifesto calls on leaders to build change-readiness across their entire organization not just their dev teams. ClearlyAgentic's services map directly to all 9 of its principles.

See Our Alignment

Bring us one business problem

Tell us what needs to exist. We will tell you what it takes to build it and how fast.

Start the conversation