services/product design

AI made building faster. we make sure what you build gets used.

Senior AI engineers and research-led designers working as one team, so what you ship isn't just working. It's adopted.

your AI feature works. so why isn't anyone using it?

The model isn't the problem. The experience is: features that don't fit real workflows, outputs nobody trusts.

29%
of executives report significant ROI from generative AI
WRITER, AI Adoption in the Enterprise 2026
25%
of the workforce uses AI regularly, even though 86% of CEOs say their people have the skills
IBM IBV, CEO Study 2026

not screens. outcomes.

products people actually use

AI designed into the workflows your users already have.

AI your users trust

Clear disclosure, visible confidence, approval before anything irreversible, and undo.

UX context your AI can use

Research, rules and design system, structured so every generated screen starts user-informed.

the UX loop.

The design process isn't dead. AI just changed where the time goes: less on repetitive work, more on understanding users and making the right calls.

explore

01

Frame the problem, then explore options. AI helps us prototype and compare real alternatives, so decisions aren't made on sketches alone.

owned by designer + product lead
02

validate

We test the decisions that matter with real users, never AI stand-ins, planned with you and scaled to the risk.

owned by designer / researcher
03

decide

Keep it, change it or kill it, judged against criteria agreed up front. Killing an idea early is a good outcome.

owned by product lead, with UX

refine

04

We iterate where the evidence points. Once it's right, engineers ship it, and real usage feeds the next loop.

owned by the whole team

AI speeds up the work. people own the thinking.

Loops repeat until the evidence says build. Validation scales with risk: a quick review for small changes, full studies for high-stakes ones.

zoom out the UX loop runs inside the first two phases of our agentic sdlc
how we build · five phases, one loop

the agentic sdlc.

Agents run the build, people own the gates where judgment matters, and every release feeds what we learn back into the next one.

the UX loop runs in 01 + 02explore · validate · decide · refine
01/feature

specify

Stakeholder interviews, spec + acceptance criteria

UNDER THE HOODspec.md + acceptance/*.feature + success criteria
HUMAN GATEPM/BA confirms the spec traces back to validated evidence
02/design

design

Two tracks, in parallel

UX TRACKDetailed flows, states, usability checksFinal designs + UX context the agents build from
TECH TRACKArchitecture, key technical decisions, securitySystem design + a record of every key decision
HUMAN GATEDesigner signs off the UX checkpoint; Senior Developer approves the architecture
03/implement

build

Agent-run: plan, implement, test

plansubagent TDDe2e wiring
UNDER THE HOODplan.md, code + tests, 1 commit/task
AGENT CHECKSuite green, no blocked tasks. Human sign-off only for large or high-risk changes
04/implement

verify

Code, experience and AI behaviour

UNDER THE HOODreview-report.md, ux-review.md, approved PR
HUMAN GATESenior Developer + Designer are final approvers
05manual

ship + learn

Deploy, observe, measure use, retro

UNDER THE HOODmerged PR, adoption metrics, context updates
HUMAN GATEProduct Owner accepts the outcome, measured by use
production learning flows back into specs and UX context

acquired by one of the largest players in EdTech.

Dr. Jamey Heit
Dr. Jamey HeitCo-founder and CEO, Ecree

“The team from HEITS was an invaluable partner as we developed our market-leading AI technology. Without them, we would not have been acquired by one of the largest players in Education Technology.

HEITS always delivered on time. They met every tight deadline and consistently exceeded expectations. They bring a unique blend of ability, creativity, and determination to their work.”

80+
engineers
experts who get the job done
95%
NPS score
new clients come from referrals
13+
average years of experience
helping partners spot opportunities
6.85%
turnover rate
a stable team that stays with you

already generated something? let's see if it works.

We'll review it with you, plan the right test with real users, and show you what's holding adoption back.

book an adoption review