From workflow to working software

Custom AI applications, built around your business

inAi designs and builds AI applications and integrations for companies, product teams and founders. We can deliver the complete software system—not only the model connection—from the first defined workflow to deployment and ongoing improvement.

What we build

The right system for your work

Start with the work you want to improve. We help define the application, the AI capabilities and the connections it needs.

The way we work is simple

  1. Bring your idea

    An idea, concept or draft gives us a starting point. Together, we clarify your goals and shape the plan.

  2. Define it together

    We develop or review the technical specification with you, add our comments and work through your questions and concerns.

  3. Build and deliver

    We build the application, review it with you and deliver a usable result within the agreed scope.

Custom AI applications

Turn a product idea or internal workflow into an application with interfaces, backend, data connections, AI behaviour and an operating plan.

Your result: A complete application your team or customers can use, review and operate.

Explore custom AI applications →

Illustrative workflow · sample content
  1. Request + business data
  2. Application · AI draft · human review
  3. Accepted result + activity record

AI integrations

Add a useful capability to a SaaS product or business application while preserving its authentication, permissions and surrounding workflows.

Your result: An AI feature connected to the software and processes your users already rely on.

Explore AI integrations →

Illustrative workflow · sample content
  1. Your existing software
  2. AI feature + existing permissions
  3. Result in the user’s workflow

Document AI

Extract information, connect fields to their source, flag exceptions and prepare structured outputs for review or integration.

Your result: Reviewed records, import files or updates ready for the next step in your existing systems.

Explore Document AI →

Illustrative workflow · sample content
  1. Document fragment · §2 Delivery: 14 days
  2. Extract → validate → review
  3. Structured record lead_time_days: 14 · source: §2

Knowledge assistants

Help users find information in an approved collection, inspect the sources and recognise when an answer is not supported.

Your result: Answers with references, within the source and access boundaries agreed for your team.

Explore knowledge assistants →

Illustrative workflow · sample content
  1. Question Who approves this request?
  2. Approved source · §3 The manager reviews requests.
  3. Referenced answer Your manager [§3]

Agents and automation

Connect a request to retrieval, preparation, approval and a bounded action, with an activity record and a clear escalation path.

Your result: A controlled workflow across your tools, with review before consequential actions.

Explore agents and automation →

Illustrative workflow · sample content
  1. Proposed action Update a record
  2. Human approval Approve this exact change
  3. Other system Apply + record the outcome

Evaluation and production hardening

Define what reliable operation means, identify failure patterns and improve evaluation, deployment and support.

Your result: An assessed system, explicit release criteria and a practical plan for ongoing operation.

Explore evaluation and production hardening →

Illustrative workflow · sample content
  1. Representative cases + expected results
  2. Evaluate → fix → regression check
  3. Release criteria + operating plan

More than an AI component

An AI feature still needs the software around it. Depending on the project, our scope can include product definition, UX, frontend, backend, databases, APIs, model integration, evaluation, hosting configuration, monitoring, documentation and handover.

We define those responsibilities before development begins. The proposal distinguishes what inAi delivers, what your team supplies and what remains outside scope.

Plan your project

How we work

Understand how we define the scope, review working increments and prepare the handover.

See the delivery process →

Budgets

Understand the engagement options and the difference between implementation and operating costs. Begin with a blueprint, a bounded pilot, a production build or an operate-and-improve agreement according to your project's needs.

Explore budgets →

Security

Understand how data flows, access, providers and operational responsibilities are addressed.

Review security and data →

Guides

Prepare your brief and work through the decisions involved in an AI project.

Browse project guides →

Building for a client?

inAi can work alongside your agency, product studio or integration team on a defined part of an AI project, or on joint delivery. Technical contribution, joint delivery and referrals have different responsibilities. We agree the scope, client relationship, delivery responsibilities and support arrangements before starting.

Tell us what you need to build

Describe the workflow, the users and the result you need. An existing brief or a description of your current process is enough to begin.

Discuss your project →