Documents and emails arrive all day
Someone reads, sorts and types the same fields into another system before the real work starts.
AI and workflow automation
AI and workflow automation, one task at a time.
We start from the systems you already run. We automate only the repeated step that pays back, with a person where the decision carries risk, then host and monitor it.
- SystemsWhat you already run
- The taskOnly the step that pays back
- AfterHosting, logs, a person
- Rule
- Python
- AI
- Human approval
Pick a task, then a step. Rules, Python, AI or a person, and why.
Where the same work repeats
The first conversation is which of these is true. A new platform is the last option.
People copy data between tools
An order, a ticket or a record is retyped because the systems do not share it.
Approvals sit in inboxes
Money, compliance or a customer commitment waits on a person who cannot see the queue.
A pilot worked in the demo
It stalled once real documents, exceptions and a person who is accountable showed up.
The systems already exist
ERP, mail, documents or a product we run may only need the missing hand-off, not a new suite.
Nobody watches it after launch
A failed step stays quiet. Logs, alerts and hosting need a named plan. Uptime is not promised.
Start with the task that pays back
Each path has a first slice. Choosing one fills the request below if you have not written it yet.
Documents and emails
Intake, classification and routing for what arrives all day. The first slice is the highest-volume document flow.
- Intake and classification
- Routing to the right person or system
- Drafts and summaries a person approves
Data moved by hand
Updates that should move between tools, with a check when something looks off. The first slice is the copy-paste that costs the most time.
- Updates driven by rules and Python
- Validation before anything is written
- Alerts for exceptions, not silence
Approvals stuck in inboxes
Rules, reminders and a record of who decided. The first slice is the approval that blocks the most work.
- Gates for money, compliance and commitments
- Reminders and escalation
- An audit trail for every decision
A stalled AI pilot
Keep what worked. Rebuild what could not survive real users. The first slice is the one workflow worth rescuing.
- Review what worked and what did not
- Rebuild on a stable layer
- Approvals and monitoring before production
How a task actually gets automated
Three parts. A new RPA suite is not the starting point.
1 · Systems
Use what you already run
ERP, mail, documents, a CRM, or a product we operate. The automation sits on those, instead of a new platform and a new licence.
2 · The task
Automate only the step that pays back
Rules where the answer is certain. Python where the logic is custom. AI where the input is ambiguous. A person where money, compliance or a commitment is at stake.
3 · After
Host it, log it, watch the exceptions
The layer stays up under a plan: logs, alerts and a place for the next task. Private models can run on infrastructure you control. Uptime is not promised.
RPA, a pilot, or a layer you keep
Each route can work. These are the differences that decide whether the automation lasts past the demo.
DecisionEnterprise RPAAI pilotManual and spreadsheetsDEIENAMI
FitHeavy to configure and maintainImpressive demo, thin on your processHours of repeated effortBuilt around your process, step by step
DependencyNew platform and licencesTied to one tool or vendorNone, but no leverageA reusable layer, not new lock-in
GovernanceVaries by setupOften missingInformalApproval gates and audit logs by design
AmbiguityRigid rulesStrong, but unpredictableHumans do it allAI only where ambiguity begins
CostHigh licences and upkeepUnclear after the pilotHidden in staff timeProcess cost calculated before automation
What you can check
Each step leaves something you can open, not a demo recording.
- Process cost
- What the repeated work costs today, before anyone prices the automation.
- Step design
- Which steps are a rule, Python, AI, or a person, and why.
- Approval gate
- Where a person must decide, especially for money, compliance or a customer commitment.
- Audit log
- A record of what the automation did, and who approved the exception.
- Pilot
- The task run on real documents or real tickets, not a staged sample.
- Care
- Hosting, alerts and a place for the next task. Uptime is not promised.
Work you can open
A published approval workflow, private model hosting, and systems the automation can sit on. Measured client results are shared only with permission.
- Approval-first workflowGates, audit logs and custom steps where a full silent automation was the wrong call.
- Private and open-source AIModels on infrastructure you control, when the document or email cannot leave.
- Business softwareApprovals, records and reporting, when the repeated work needs a system, not only a script.
- ERP SystemInventory, purchasing and finance hand-offs the automation can write back to.
- Application modernisationWhen the system the task depends on is too fragile to automate against.
- Plan the first taskTell us what repeats, and where a person still has to decide.
Agencies can put their name on the automation
White-label, a team inside yours, or a referral. Your client relationship stays yours. Scope is written before work starts.
White-label
We automate the work under your brand.
Co-delivery
Our engineers inside your tools and review process.
Referral
Introduce a client. Terms are agreed in writing first.
Questions before you decide
The contract still sets the exact terms.
Do you replace people with automation?
No. We design automation so people decide what matters, especially where work touches money, compliance or customer commitments.
Do we need an RPA platform?
Not necessarily. We use rules where rules are enough, Python where custom logic matters, and AI where ambiguity begins, on a stable layer you own.
How do you stop AI making mistakes?
We keep human approval and audit logs in the design where it matters, validate outputs before they reach your systems, and monitor results.
Which tools do you integrate with?
We integrate with the systems you already run, including ERP, CRM, document and email tools. We confirm each integration when we scope the work.
How long will it take, and what will it cost?
We cost the process first, then propose a phased plan so you can see cost against value. We do not promise a timeline up front.
Can AI run privately?
Yes. We can host open-source models on infrastructure you control. See our private and open-source AI service.
Plan the first task
Tell us what repeats every day.
We reply with whether a system you already run can take it, which step we would automate first, and how we would host it.
- Process cost before automation cost
- A person where the decision carries risk
- No new platform unless the current one cannot do it
- Logs and hosting after the pilot
Thank you. We have your request.
We will reply by email. If you do not hear from us, use the contact page.