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Custom AI Automations

Custom AI automations built around the way your business actually works.

We automate the workflows your existing software still leaves your team handling manually — connecting the systems, rules and approvals involved, and using AI where it actually helps.

See How It Works

An illustrative process map: a new request arrives, information is checked, approved rules or policy are applied, the next action is completed or a person reviews it, and systems are updated.

Process map

Illustrative example

Running

  1. 01

    New request arrives

    A repeatable event starts the process.

  2. 02

    Information checked

    Gather the details the next step needs.

  3. 03

    Rules / policy applied

    Approved business rules decide what happens next.

  4. Yes

    Next action completed

    No

    Needs human review

  5. 04

    Systems updated

    The result stays visible.

The work between your systems

Your software may be connected. Your process probably isn’t.

A process often starts in one system, needs information from another, waits for somebody to check a rule, requires an update somewhere else and eventually needs someone to follow up. That manual work becomes the bottleneck.

  1. 01

    copying information from one system to another

  2. 02

    checking whether something meets a rule

  3. 03

    creating the same task after the same event

  4. 04

    sending the same internal update

  5. 05

    routing documents for approval

  6. 06

    chasing missing information

  7. 07

    compiling recurring reports

We automate the process — not outsource the manual work.

The goal is not to add another person who copies the same information or follows the same checklist. We design the repeatable steps into the workflow itself, while keeping people involved where judgment or approval is required.

That means fewer manual handoffs and more consistent execution of the repeatable steps, with people focused on exceptions rather than moving information around.

Illustrative example

Before

  1. 01

    Request arrives

  2. 02

    Person checks inbox

  3. 03

    Copies details

  4. 04

    Checks policy

  5. 05

    Updates system

  6. 06

    Sends internal message

  7. 07

    Follows up

Automated

  1. 01

    Request arrives

  2. 02

    Workflow checks required information

  3. 03

    Applies approved rules

  4. 04

    Updates systems

  5. 05

    Escalates exceptions

  6. 06

    Records outcome

One workflow, designed around the way the work actually happens.

This is business process automation designed around the process itself — a conceptual architecture, not a locked template. Each custom AI automation uses only the stages the work actually requires.

  1. 01

    Trigger

    Something happens: a request arrives, a record changes or a scheduled point is reached.

  2. 02

    Understand

    Gather and structure the information needed for the next step.

  3. 03

    Decide

    Apply approved business rules, and use AI only where interpretation is useful.

  4. 04

    Act

    Perform the defined next action once the path is clear.

  5. 05

    Hand off

    Bring a person in when judgment, approval or an exception requires it.

  6. 06

    Record

    Keep the result visible in the appropriate system.

Illustrative examples

Business processes we can help automate.

These are example process categories, not packaged products or completed client projects. The automation is designed around the workflow itself.

Sales

  • Enquiry routing

  • Qualification handoffs

  • Quote follow-up

  • CRM updates

Customer Service

  • Enquiry routing

  • Appointment workflows

  • Collecting missing information

  • Customer handoffs

Marketing

  • Approval workflows

  • Recurring content handoffs

  • Reporting preparation

Operations

  • Document intake

  • Client onboarding

  • Internal approvals

  • Recurring reporting

For a closer look at how those processes actually run — trigger, rules, action and the human checkpoint — read workflow automation examples.

Built around the systems already involved in the work.

You do not start by replacing the software you already use. Custom workflow automation is designed around the approved systems already involved in the process. Whether a particular system can be connected depends on that system and the requirements of the workflow.

  • CRM
  • Email
  • Calendar
  • Forms
  • Documents
  • Reporting / workspaces

You shouldn’t have to become an automation developer.

This is not a do-it-yourself builder. We map the process, configure the workflow, connect the approved systems, test the edge cases and launch it. You should not need to design the architecture or maintain the workflow yourself.

  1. 01

    We map the process

    We start with how the work happens today, including the systems, rules and handoffs involved.

  2. 02

    We configure and test it

    We design the workflow, connect the approved systems and test the edge cases before launch.

  3. 03

    We can manage it afterwards

    Where ongoing management is part of the engagement, the automation is monitored and maintained as a managed service.

Use the right product for the problem.

Related

AI Employee

Best when

You need an ongoing productized role handling a defined type of work.

Example

Sales Assistant

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Related

AI Team

Best when

Several ongoing AI Employee roles need to work together.

Example

Sales Team

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This page

Custom AI Automation

Best when

You have one repeatable process unique to your business.

Example

Route and approve incoming project requests

This product

Related

Custom Software

Best when

Your team or customers need a dedicated interface, portal, dashboard or software system.

Example

Operations dashboard or customer portal

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Not sure what should be automated first? Explore AI Consultancy

We start with the process, not the AI.

  1. 01

    Map the process

    Understand what triggers the work, what information is involved and what happens today.

  2. 02

    Define the rules

    Identify what can continue automatically, what needs approval and what should stop.

  3. 03

    Connect the systems

    Connect the approved tools and information the workflow actually requires.

  4. 04

    Test the edge cases

    Test normal scenarios as well as the exceptions that should pause or escalate.

  5. 05

    Launch and manage

    Deploy the automation and provide the agreed monitoring, maintenance and ongoing support.

How we design it

Automation first. AI only where it improves the process.

Not every decision needs a model. A custom automation may use normal rules, system actions, AI interpretation or human approval, depending on the job.

Rules

If this, then that. Policy can move work without needing a model.

Automation

System actions that take the next step once the decision is clear.

AI

Interpretation where language, documents or judgment-shaped work need it.

Human approval

A person steps in when the process should not continue on its own.

The automation should know when to stop.

A useful process is not the one that always continues. It is the one that can keep moving when the work is clear, and pause when a person should decide.

Rule matched

Continue

Information missing

Ask / wait

Outside policy

Needs review

Sensitive decision

Human required

Commercials

Scoped around the process.

01

Implementation

Scoped & quoted

Discovery, workflow design, configuration, integrations, testing and launch.

02

Managed service

Scoped to the automation

Monitoring, maintenance, support and ongoing operation where included in the engagement.

03

Usage

via platform credits

AI and third-party runtime usage is metered separately where the automation uses it.

View Pricing

Questions

Common questions.

The strongest candidates are repeatable. They have clear inputs, rules and a predictable next action across systems or people. Some steps can stay with a person where judgment is required. Not every process should be automated.

Show us the process you wish your team could stop doing manually.

You do not need to know how to automate it. Show us what happens today, which systems are involved and where the work gets stuck.

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