People approve what matters
You decide where a person reviews or approves before anything important happens.
Custom automation
Tell us about any manual, repetitive work your team spends time on. We connect with you, understand it, plan the automation and build it, with people in control of the decisions that matter.
Our team spends hours on the same manual task every week.
Tell us how it works today: who does it, which tools, and how often.
Definition
AI workflow automation uses AI, your business rules and connections between your tools to complete multi-step work automatically. It can handle information that doesn't arrive in a neat format, decide what should happen within limits you set, and act across your tools, while people approve the decisions that matter.
Traditional automation follows fixed rules and breaks when inputs vary. AI workflows cope with the messiness of real work: information in different formats, gaps that need following up, and requests worded differently every time.
Read the full guideWhat we automate
There is no fixed menu. If you are not sure whether something can be automated, that is exactly what the first conversation is for.
How it works
The same six steps every time. The first three happen before you commit to building anything.
We talk with you and with the people who do the work today.
We map the steps, the tools, the hand-offs and where the time goes.
We agree what to automate, what stays with people and how we will measure it.
We connect your tools and build it, starting with a pilot your team can review.
We track the agreed measures against how things worked before.
We refine the automation as your processes and volumes change.
What changes
Repetitive reading, typing, sorting and chasing moves to automated workflows.
Work moves the moment inputs arrive, not when someone gets to their inbox.
The same rules, templates and checks are applied every time.
Every step is logged, so leaders see status, bottlenecks and exceptions.
Integrations
Your tools feed into DataPoint. AI does the repetitive steps within your rules, people approve what matters, and every step is recorded. Exact integrations are agreed in the plan.
Your tools
DataPoint automation
Outcomes
Governance
You decide where a person reviews or approves before anything important happens.
Each input, decision and action is recorded, so results can always be checked.
Automation connects to the tools you already use instead of replacing them.
Each connection gets the narrowest permissions that work, agreed with your IT team.
We agree what success looks like up front and report against it after launch.
Rules and prompts are refined as your processes and volumes change.
Data handling is agreed per project in line with applicable data protection law.
FAQ
Tell us about it. We'll show you what can be automated, what should stay with people, and how we'd measure success.