Deployment

Custom software and AI systems built faster

Business-specific software is back on the table. We build the  agentic systems, AI-native products, and software your business needs when off-the-shelf software stops short.

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Invoice approval
1,204 runs / mo · 99.1% success
Contract review
356 runs / mo · 98.6% success
What yoU can expect

A senior team using AI throughout the SDLC, building the tools and AI systems your business needs, and handing you software you own.

01

Custom software without the old economics

AI changes the delivery model. We use AI-enabled engineering workflows to make more business-specific software worth building.

02

AI systems where they make sense

When AI belongs in the product or workflow, we design the tools, context, permissions, review loops, and evals needed to make it reliable.

03

Built to be owned

We ship into your environment with documentation, handoff, and the operating model your team needs to maintain and extend the system.

Solution

What we build

Builds covers two related but different motions: custom software built faster with AI, and AI systems where AI is part of the product or workflow.

Custom software builds

Internal tools, portals, workflow apps, operational systems, reporting tools, admin tools, and integration layers built around how your business actually works.

AI systems and agents

AI-assisted workflows and agents that draft, summarize, triage, route, validate, escalate, or take action across tools when the work requires more than a standard application.

Context and data layers

The business context an AI system needs to work: trusted sources, documents, entities, permissions, workflow state, retrieval patterns, and domain definitions.

AI-native experiences

AI-powered features inside your product or internal platform, built with the right user experience, controls, logging, and quality checks.

Production integration

Authentication, permissions, cloud deployment, observability, system integrations, runbooks, and documentation so the system can actually run after launch.

What Deployment delivers

Builds projects are designed to move from idea to working software without getting stuck in analysis. We keep the delivery model simple.

PHASE 1 - DISCOVER & DESIGN
Business and workflow assessment

Map how the work happens today, find where it breaks down, and redesign the workflow around what AI and software can now make possible

Build path selection

Decide whether the right answer is custom software, an AI system, an agentic workflow, or a simpler workflow tool. AI is not the default architecture.

Architecture and delivery plan

Define the product shape, technical architecture, integration points, security model, and release plan so the team can build quickly without guessing.

PHASE 2 - BUILD, LAUNCH & EVOLVE
MVP build and hardening

Design, build, test, and harden the first working version, using AI-enabled engineering workflows to move faster without skipping quality.

Production rollout

Deploy into your environment, integrate with your tools, support real users, and instrument the system for usage, quality, and reliability.

Handoff and iteration

Leave behind the code, documentation, runbooks, and roadmap your team needs to operate, improve, and extend the system.

Ship your first build in 6 weeks

Kick off a fixed-scope Deployment Sprint: a 6-week engagement to take one high-value workflow or system from idea to a working version in your environment.

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What's included
One priority workflow taken from concept to working software
Product, architecture, data, and security design
MVP build with testing, logging, and deployment support
Handoff with documentation, runbooks, and a follow-on roadmap