Applied intelligence / Capabilities

Automation & integrations

Less moving information. More moving work.

Connect the tools your business already relies on and automate the handoffs between them. We build around real triggers, clean data, explicit approvals and visible failure handling.

Explore the work

For operations teams doing the same handoff one time too many.

01 / Intelligence applied

See the work change.

A few examples of what the right build can make possible. Your sources, rules and people shape the real thing.

The happy path. And the recovery.Illustrative example

The happy path. And the recovery.

The answer For review

Can a won deal start onboarding?

Map the sample customer ID and approved service scope into one onboarding task. A stable event key prevents a replay from creating a second task. Try a successful sync or a recoverable failure.

Inputs & source evidence
  1. 01
    Trigger / DEMO-EVENT-07

    Won opportunity; customer ID and approved scope present.

  2. 02
    Mapping contract

    One onboarding task per event key; operations owns exceptions.

Take the next step

  1. Evidence read
  2. 02 / Review
  3. 03 / Local outcome

Illustrative data, not client results. No live connections or submissions. Changes stay in this example.

What could change
in your business?

  1. 01

    Route and enrich a new inquiry, update the CRM and notify the right owner.

  2. 02

    Generate a quote from approved pricing rules, prepare a document and send it for review.

  3. 03

    Connect sale, onboarding, invoicing and delivery without re-entering the same details.

  4. 04

    Synchronise CRM, ERP, help desk and warehouse records with exception monitoring.

The next frame

The answer is useful.
The next step changes things.

What we put in place
02 / From idea to everyday

Not just possible.
Put into practice.

A useful result, the work behind it, and the people who keep it working.

Documented workflows with source mappings, API scopes, triggers and action boundaries.

Working integrations with retry handling, duplicate protection and failure alerts.

An operating runbook, access handover and agreed ownership of exceptions and changes.

  1. 01

    Understand the work

    Map the current workflow, the people involved and the change that would make the effort worthwhile. Confirm access, constraints and dependencies.

  2. 02

    Design the first release

    Agree the scope, data flows, permissions, acceptance checks and who owns each decision. Choose technology around those requirements.

  3. 03

    Build and test

    Implement the working solution. Test representative scenarios, edge cases and recovery with the people who will use it.

  4. 04

    Launch and improve

    Prepare documentation, training and an operating runbook. Agree monitoring, support responsibilities and the next improvements.

03 / Before we begin

Good questions.
Clear answers.

Can we keep our current tools?

Usually that is the starting point. We check available APIs, events, permissions and platform limits before recommending any replacement.

What happens when an integration fails?

Failure paths are part of the design. We define retry behaviour, duplicate protection, alerts and a person responsible for resolving exceptions.

Does every automation need AI?

No. A deterministic workflow is often the right answer. We add AI where interpreting, summarising or working with unstructured information creates useful value.

From the work to your world

Enough about
what could work.
What should work for you?

Meet Paloren. She has a few questions.
And, apparently, somewhere else to be.