Skip to content
Let’s talk ↗
Services

Six practices

The six practices behind one delivery process.

Talk to us →
Services

Software & web

Websites, applications, APIs, mobile and database work.

Talk to us →
Services

Cloud, data & AI

Azure, data engineering, analytics and applied AI.

Talk to us →
Services

Marketing & growth

Search, content, conversion and measurement.

Talk to us →
Services

Recruitment

Hiring through Incipit and working at Incipit.

Talk to us →
Services

Travel & experiences

Itineraries and journeys planned around the traveller.

Talk to us →
Industries

By industry

Sector context for the work.

Talk to us →
Industries

Business solutions

Solution patterns we build repeatedly.

Talk to us →
Products

Products & platforms

Each product at its real stage.

Talk to us →
Products

Support & releases

Each product at its real stage.

Talk to us →
Work

Portfolio & proof

What can be evidenced, labelled honestly.

Talk to us →
Resources

Articles & insights

Articles, guides and self-service help.

Talk to us →
Resources

Help & knowledge

Articles, guides and self-service help.

Talk to us →
Resources

Start a project

Start a project, ask a question or get support.

Talk to us →
Company

About Incipit

Who Incipit is, how it works and how to reach it.

Talk to us →
Company

Careers & hiring

Hiring through Incipit and working at Incipit.

Talk to us →
Company

Trust & legal

Policies, security and technical pages.

Talk to us →
Build

AI and Automation

Practical automation where human decisions stay in control

We start from a concrete use case, scope the data and decision boundaries, then build assistants and workflow automation that can be audited and measured. Every consequential action is recorded for review.

  • Custom assistants
  • Workflow automation
  • Scoped data access
  • Audit trail

How a Project Is Delivered

1

Discover & Specify

Clarify who will use it, what it must connect to, and how you will judge success.

2

Architect & Design

Agree the data model, screens and integrations in writing before production code is written.

3

Milestone Development

Build in agreed milestones, with working builds you can review and approve at each stage.

4

Quality Gate & Handover

Testing, production deployment and handover of source code and documentation as agreed in writing.

Problems This Service Solves

  • Repetitive manual steps in daily operations
  • No clear view of which tasks suit automation
  • Concern about AI acting without oversight

AI and Automation in practice

Who this suits

Teams with repetitive manual steps in daily operations who want to try automation or an assistant without giving up control, and organisations unsure which tasks genuinely suit it.

What you receive

A scoped use case, a clear statement of what data the automation may see and which decisions stay with people, a working assistant or workflow, and an audit trail so consequential actions can be reviewed and measured.

How we approach it

We start from one concrete use case rather than a general AI programme. We define data access and decision boundaries first, build the smallest useful version, and measure it against the manual process. If a task does not suit automation, we will say so.

Frequently asked questions

Where does AI make sense?

Where the use case is concrete, the data is available and a person can approve the consequential decisions. We say so when it does not fit.

Is our data safe?

Data access is scoped up front and follows least privilege. Retention and security terms are agreed before work starts.

Ready to talk about ai and automation?

Tell us what you want to build or fix. We reply with questions, options and a milestone-based proposal. No obligation, and we can sign an NDA first.