Engram / Build

Ship your backlog in a fraction of the time.

Build takes what Adopt learned about how you work and delivers on it — we build your software AI-native. Specialist agents run the routine lifecycle on AgenticStack, our delivery engine, while experienced engineers move up to the decisions that need judgment. Days, not weeks — with a named human accountable for everything that ships.

How Build works

The whole delivery lifecycle — requirement, plan, design, implementation, review — runs as an agent-driven pipeline with a human signature at every gate. AI takes the routine; your engineers own the judgment. We don't add headcount or lower the review bar; we compress the time.

Build
Capabilities

What we bring. All of it shipped.

01

Your backlog, shipped

Bring a real backlog — we deliver it AI-native, standard tickets closing in days instead of weeks, without adding headcount or lowering the review bar.

02

Working software every cycle

Each iteration ends in reviewed, production-ready software you can ship — not a status update, and not a demo that falls over off the happy path.

03

A named human at every gate

An experienced engineer owns architecture, security and what ships. AI does the routine; the judgment — and the accountability — stays human.

04

Throughput without headcount

Roughly triple the bug-fix throughput on the same team, at the same quality: the time compresses, the review bar doesn't move.

05

Delivered in your repo

Work lands as plans, pull requests and artifacts in your own repository — you watch it happen, you're not waiting for a black box to open.

06

Yours to run after we leave

We transfer the way of working, so your team keeps delivering AI-native once the engagement ends — the on-ramp to Adopt.

Featured practice

The engine is AgenticStack.

Build is what you get when we point AgenticStack — our agentic delivery engine — at your work: a team of specialist agents from requirement to review, human-gated at every step. The mechanics live on the AgenticStack page; Build is that engine on your backlog.

Case study

AI-native delivery in production — a charitable healthcare organization

We embedded AI across the full development cycle — understanding tickets, tracing the codebase, drafting implementation and tests, review and documentation — with a named engineer accountable for everything shipped. Standard tickets moved from weeks to days and bug-fixing throughput roughly tripled, with no patient or financial data in AI tools and nothing reaching production without human review.

AgenticStack is the engine.

Build runs on AgenticStack — the agentic SDLC, tool-agnostic and human-gated. See how the engine works under the hood.

How AgenticStack delivers
Let's build

Build something Real

Bring a real backlog — we'll show you how fast it ships, human-gated, on AgenticStack.