Solutions / Agentic Product Evolution
Keep Evolving the Product You Already Shipped
You shipped the product. The team that built it has moved on. Every new feature now triggers another scoping cycle, another fixed-bid quote, another month of planning overhead before anyone writes code. We built a different model. Agentic Product Evolution is the loop you can hand off: a fixed monthly retainer, agents handling throughput, humans handling judgment, all running through a production-grade harness we've been engineering for years. We've been operating it on our own products for the better part of a year. Bring us yours.
AI Assisted Retainer Model
Predictable retainer replaces every scope-by-scope quote
One loop
AI work, features, and maintenance all flow through the same path
What changes when the unit of engagement is a request
Most maintenance models are project-shaped: smaller scopes, same overhead. The agentic loop is structurally different. Three things change as soon as the engagement is priced and operated as a continuous loop, not a sequence of fixed-bid scopes.
Every change is a request, not a project
The unit of engagement shifts from project to request. No re-architecture for a tweak, no procurement cycle for a small change. Bring us your roadmap and we'll show you what the first three features through the loop look like.
Stable foundation, agent-assisted change
Agents do the throughput. Humans do the judgment. The foundation we ship makes agent-assisted change safe to ship: faster than your current cycle, without the regression risk that usually comes with speed.
One retainer, no re-scope spiral
Fixed monthly cost replaces scope-by-scope quotes. No quarterly planning overhead, no change orders, no "this changed, here's the new SOW." Ask us what your retainer would look like.
Why this loop works in our hands
Standing up an agent is the easy part. Making it ship features that pass review, survive production, and move the roadmap is engineering operations work — and it's most of the work. That's the part we bring.
Over a decade of shipping enterprise product
Design systems, frontend platforms, headless commerce, and agentic delivery — the operations discipline that turns AI from a demo into a delivery loop. The harness around the agents is what makes agent-assisted change safe to ship in production.
We run this loop on our own products
The retainer math, the operating discipline, and the failure modes aren't theoretical for us. We've been operating this loop on our own products for the better part of a year, and we've already eaten the consequences of getting it wrong so you don't have to.
Agentic systems engineers and product engineers in one room
The loop only works when the harness is built and operated by people who ship production engineering for a living. We have agentic systems engineers and senior product engineers on the same delivery teams, so the agents are wired into people who can ship the result.
The loop, not the generator
Most agentic dev tools generate from scratch. Useful for prototypes, less useful for the product you already shipped and want to keep evolving. We built the inverse: an operations layer — a harness — that sits between your stakeholders and the codebases that serve them. Requests flow in; agent-assisted features ship out; humans stay in the loop where the judgment calls live.
OpenAI's Codex team named this discipline well. Harness engineering is the work of designing the environment, scaffolding, and feedback loops that let agents do reliable work on a real codebase. As they put it: humans steer, agents execute. Anyone can stand up an agent. The harness around it is what makes the difference between a demo and a product that keeps shipping. We've been doing the engineering operations work that becomes a harness — design systems, platform engineering, agentic delivery — across enterprise products for years, and as a continuous loop on our own products since early 2026.
The receipts, the operating discipline, and the retainer math are best handled in a conversation, not in marketing copy. If your roadmap is one fixed-bid scope away from the next planning cycle, that's the conversation worth starting.
Capabilities behind the work
Agentic Product Engineering
Agentic Product Engineering
AI-augmented engineering workflows that ship production systems in weeks, not quarters.
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Agentic AI
Agentic Solutions
Apply AI to product problems. Agents, workflows, and smart experiences that reset customer expectations.
See how we help
Operating Model
Product & Platform Operating Model
Align teams around a product and platform model that supports real delivery speed.
See how we helpIf your evolution problem is shaped a little differently
The agentic loop is what comes after launch, after modernization, after the AI feature ships. If your starting point is one of those, begin there and we'll fold the loop in when the foundation is ready.
Just launched a product and need a sustainable way to keep shipping it?
Launch new productsWant AI feature work flowing through this same loop, not a separate AI project?
Ship AI features
Working off a legacy stack and want a modern foundation the loop can run on?
Modernize your stack
Want the team running the loop after we leave, not just the loop itself?
Build engineering capabilityWorking product, no dev team?
Skip the next planning cycle. Start the loop instead.
Tell us what you shipped, what features are stuck behind a planning cycle, and where the friction sits. We'll come back with an honest read on whether this loop is the right model for your product and what a retainer to run it would cost. No deck-ware, no scoping deck.
Talk to us