Custom AI Systems

Your hardest workflow, redesigned as a connected system.

We map the systems, decisions and handoffs behind a high-value operational problem — then build the integrations, intelligence and controls needed to run it better.

Discuss a workflowSee how we build

Built around your operation. Governed by your rules — for specialised workflows and system boundaries the packaged Platform does not fit.

Custom AI Systems | TaskGeniusAICustomer signals, business systems and team decisions feed a custom operating layer mapped to one workflow. It resolves into a detected exception, a human review decision, and a recorded outcome — and it acts only inside a boundary of permissions you define.CustomersignalsBusinesssystemsTeamdecisions◈CUSTOMOPERATINGSYSTEMMapped to your workflowATTENTIONException detectedDECISIONHuman reviewOUTCOMEResult recordedYOUR RULESPermissions & boundaries
  1. Customer signals
  2. Business systems
  3. Team decisions
  4. Custom operating system, mapped to your workflow
  5. Attention: Exception detected
  6. Decision: Human review
  7. Outcome: Result recorded
  8. Your rules: permissions and boundaries
An explanatory blueprint — the shape of a custom system, not a specific delivered one.

From operational friction to a system that works.

One connected process. Each phase produces something you can read and push back on before the next one starts.

  1. 01DiscoverMap the workflowThe systems involved, where it fails, who decides, and what would count as success.A written definition of the problem and how it will be measured.
  2. 02DesignDefine the intelligenceData relationships, evidence requirements, control boundaries and the interfaces people will actually use.A specification you can disagree with before anything is built.
  3. 03BuildConnect and automateIntegrations, workflow logic, review surfaces, audit behaviour and what happens when a source fails.A working system with its failure paths handled, not assumed away.
  4. 04OperateMeasure and improveMonitor the system, verify outcomes against evidence, maintain connectors and tighten the workflow.Observed behaviour feeding the next change.

There is no fixed delivery timeline. Scope is agreed in discovery, because the honest answer depends on what your systems can supply.

When custom is the right path.

  • The workflow crosses several systems that do not talk to each other.
  • Important context lives in calls, documents, messages or manual judgement.
  • Existing tools cannot represent the process the way it actually runs.
  • The action needs custom permissions, review rules or an audit trail.
  • The problem is valuable enough to justify building for it.
  • A specialised industry or operating model falls outside the packaged Platform.

And when it is not

  • A standard product already solves it well enough.
  • The workflow has not been defined yet — that is discovery, not build.
  • What is wanted is a general-purpose chatbot.
  • No one can own the process on your side.
  • The result depends on data that is not available.

We would rather say so early than build the wrong thing well.

The kinds of problems this suits.

Categories, not case studies. Select one to see the shape a system for it would take.

Condition
Work is waiting and nothing says which item matters most.
Evidence used
Records across the systems that hold the work.
System response
Rank what is unresolved and attach the records behind each item.
Boundary
Ranking is advisory; who acts is your rule.
Recorded output
A reviewed queue with a recorded disposition.

These describe the shape of work we take on. They are not claims that a named system of each kind is already running in production.

Architecture and governance.

A custom system earns trust the same way the Platform does — by being explicit about what it may do, what it knows, and what it did.

We do not promise universal integration support. Connector availability is confirmed during discovery for your specific systems.

  • Existing systems remain the system of record where that is the right answer.
  • Permissions are scoped deliberately, not granted broadly for convenience.
  • Material actions can require review before they run.
  • Actions permitted by policy still run only inside the boundaries you configure.
  • Source failure and missing evidence stay visible instead of defaulting to zero.
  • Important workflow events are recorded so behaviour can be inspected later.
  • Ownership and ongoing support are agreed during discovery, not after launch.

Could this fit the Platform?

If your operation follows the connected home-service lifecycle — demand, calls, jobs, invoices, reputation — start with the packaged Platform. Custom systems are for the workflows that sit outside it.

Bring us the workflow your current tools cannot connect.

We will map the systems, decisions, evidence and operating boundaries before recommending what should be built.