AI, data and automation
Automation
Workflow automation that takes repetitive, error-prone steps out of your operations, using the tools you already pay for wherever possible.
What this includes
Copying data between systems, chasing approvals by email, producing the same report every Monday: these are the jobs automation handles well. We map the process as it really runs, including the exceptions, then automate the parts that are stable and flag the ones that need a person.
Where your existing tools can do the job we use them. Where they cannot, we build lightweight integrations that are documented and monitored, so a silent failure does not go unnoticed for a month.
How the work runs
The same four stages apply to every engagement, so you always know what happens next.
Discover
Workshops on goals, users, risks and constraints.
A written scope and estimateDesign
Architecture decisions and a prototype tested with real users.
Your approval before buildBuild
Two-week sprints, each ending in working software.
A demo every sprintOperate
Deployment, monitoring, support and continuous improvement.
A support agreement with SLAs
Common questions
Do we need to replace our current software?
Rarely. Most automation connects the tools you already use.
What happens when an automation fails?
It raises an alert to a named person with enough detail to fix it, rather than failing silently.
How do we know it is worth it?
The process review estimates hours saved per month before you commit.
Talk to an engineer, not a salesperson.
Tell us what you need and we will reply within one business day.
Request a proposal