WORKING WITH BITHART

Start where you are.
Build what comes next.

You don’t need to buy the whole lifecycle. Enter with a question, a defined build or a system that needs an operating partner.

Start where you are.

One delivery team. Three ways to work together.

01

Architect

Decide what to build.

For teams finding their starting point or reviewing an existing system.

  • AI Architecture Sprint
  • Prioritised use cases
  • Architecture and build roadmap
Plan my AI project
02

Build

Make the useful thing real.

For teams ready to engineer a defined application, agent or workflow.

  • Scoped development and integrations
  • Deployment and acceptance tests
  • Documentation and agreed handover
Discuss a build
03

Operate

Keep it working. Keep improving.

For teams running AI systems that need an accountable operating partner.

  • Hosting and compute management
  • Monitoring, evaluation and releases
  • Maintenance and improvement
Discuss managed AI

Scope follows your integrations, data, deployment and support needs. Cloud, model and compute consumption may be separate from engineering and management fees.

Already running an AI system? Let’s review it ↗

From a business problem to a working system.

A clear deliverable at every decision.

  1. 01

    Discover

    A mapped workflow and worthwhile problem.

  2. 02

    Architect

    A blueprint, scope and acceptance criteria.

  3. 03

    Build

    Working software tested on representative tasks.

  4. 04

    Deploy

    A controlled release, training and handover.

  5. 05

    Improve

    Quality reviews, maintenance and agreed next steps.

A little more clarity.

A few questions worth asking before you build.

Talk through your project
How is a project scoped?

We review the workflow, users, data, integrations, deployment and support expectations, then agree deliverables, assumptions and acceptance criteria before implementation.

What does an AI Architecture Sprint include?

Workflow discovery, a prioritised opportunity, architecture choices, feasibility questions and a build roadmap. It is the updated name for the earlier Opportunity Sprint.

Are hosting and model usage included?

Only where the proposal says so. Engineering, management and provider consumption are identified explicitly; usage-dependent costs are not presented as a universal fixed fee.

What happens at handover?

Documentation, source-code access where agreed, operating responsibilities, training and acceptance are part of the delivery scope. Third-party licences continue to apply.

What should AI do
for your business?

Tell us what you want to build, connect or improve.
We’ll help define the architecture, the delivery and what it takes to run it.

Bitsy.

Bithart’s AI guide / Connecting

Intelligence, with a human purpose.

What could work
better for you?

I’m Bitsy. Explore what Bithart does, ask about an idea, or turn a business bottleneck into a useful starting point.

A useful first step. No account needed.Talk to a person ↗