Businesses that integrate AI are leading their markets.Don't get left behind.

Ship AI-powered products customers feel—with Automate28

We design and ship production-ready websites, internal tools, and AI systems—copilots, agents, RAG, and integrations—so your team closes the gap before competitors do.

  • Strategy → UX → implementation → launch, with clear milestones and demos.
  • Security-minded defaults: access control, logging, and sensible model boundaries.

Typical engagements: 2–10 week builds, retainers for iteration, or fractional support after go-live.

Businesses that integrate AI are leading— Don't get left behind.

Customers expect faster answers, leaner operations, and smarter products. The gap between teams that ship AI safely and teams that stall is widening every quarter.

How we work

Services built for real operators

From first workshop to production traffic, we stay close to outcomes—not buzzwords.

AI product discovery

Map user jobs, data sources, and risk: what should be automated vs. assisted, and what success metrics look like.

Experience & interface design

Flows, prototypes, and UI systems for web apps and AI surfaces—clear states for loading, errors, and citations.

Integration & implementation

APIs, auth, background jobs, vector stores, and observability wired together—not a slide deck of promises.

Launch, learning & iteration

Rollouts, analytics, prompt/model tuning, and playbooks so your team can operate what we ship.

Process

A delivery rhythm you can plan around

  1. 01

    Align on outcomes

    We clarify users, constraints, data, and success metrics—then propose a concrete scope and timeline.

  2. 02

    Design & build in slices

    Weekly increments you can try: UX, APIs, AI behavior, and instrumentation—so risk stays visible.

  3. 03

    Ship, measure, hand off

    Production launch with runbooks, dashboards, and training—plus optional retainer for improvements.

Web experiences that earn trust—
and AI layers that feel intentional

Performance, accessibility, and clear UX for both humans and models—so launches feel confident, not fragile.

Abstract visualization suggesting AI and data

Outcomes teams remember

Representative feedback from AI and web engagements—titles anonymized where requested.

Head of Product

B2B SaaS · US

They turned a fuzzy ‘AI assistant’ idea into something our CS team actually uses—grounded answers and guardrails included.
COO

Professional services · UK

Our intake and scheduling workflow was half manual. Automate28 shipped an internal tool in weeks, not quarters.
Founder

Marketplace startup

The marketing site and onboarding flow finally match the product story. Conversion and clarity both moved.
Head of Product

B2B SaaS · US

They turned a fuzzy ‘AI assistant’ idea into something our CS team actually uses—grounded answers and guardrails included.
COO

Professional services · UK

Our intake and scheduling workflow was half manual. Automate28 shipped an internal tool in weeks, not quarters.
Founder

Marketplace startup

The marketing site and onboarding flow finally match the product story. Conversion and clarity both moved.
CTO

Fintech

Solid engineering: auth, audit logs, and eval hooks from day one. Rare in AI projects.
VP Marketing

Enterprise software

They speak both brand and model behavior. Our launch assets and in-product copy stayed consistent.
Director, IT

Healthcare

We needed RAG over policy docs with citations. They delivered something clinicians trust to open.
CTO

Fintech

Solid engineering: auth, audit logs, and eval hooks from day one. Rare in AI projects.
VP Marketing

Enterprise software

They speak both brand and model behavior. Our launch assets and in-product copy stayed consistent.
Director, IT

Healthcare

We needed RAG over policy docs with citations. They delivered something clinicians trust to open.

Tell us what you are building

Share goals, timeline, and links to any existing product or docs—we will respond with next steps and a rough approach.

hello@automate28.com

Include your timezone and whether you are exploring AI for the first time or scaling an existing system—we tailor the first reply accordingly.