Workflow and data-use assessment
Identify triggers, decision rules, exceptions, and permitted data sources. Agree consent and authorisation, provider access, retention, and prohibited data before connecting an external AI service.
All services
Illustrative AI automation and workflow review scene
LESS MANUAL WORK. MORE MOMENTUM.
AI and workflow automation
Start with the tasks your team repeats every day. We design reliable automations and, where appropriate, AI-assisted workflows with clear review points and accountable decisions.
WHEN THIS IS THE RIGHT FIT
A better way to
get the work done.
Useful when a repeatable process stalls between people, documents, and systems. Begin with the decisions and exceptions: predictable rules may need ordinary automation, while variable text or documents may benefit from reviewed AI assistance.
- Staff chase the same approvals every week.
- Documents are repeatedly copied into structured records.
- Exceptions disappear between automated steps and owners.
DOCUMENT WORKFLOW
From inbox to review.
Routine steps move forward. Exceptions reach a person.
- Receive
- Extract
- Review
- Export
Review queueHuman approval
- Document
- Invoice INV-0184
- Supplier
- Example Supplies
- Amount
- INR 12,400.00
Check the tax amount
The extracted total needs a manual check before export.
Every review has an owner and an activity history.
FROM YOUR BRIEF TO YOUR TEAM
What we deliver
with your team.
A repeatable workflow with less chasing and clear visibility when something needs a person.
Routing and scheduled follow-up
Move requests to the right reviewer, issue reminders, and escalate overdue items using agreed rules. Define what happens when a reviewer is absent or information is incomplete.
Assistance with human checkpoints
Use AI for scoped extraction, search, or draft preparation. Show source material where available and route uncertain or sensitive results to a named reviewer before consequential action.
Failure handling and evaluation
Keep activity history, retry eligible failures, and expose unresolved items to an owner. Evaluate representative samples with your team and review errors when inputs or providers change.
MAKE IT SPECIFIC TO YOUR OPERATION
Different needs.
Practical starting points.
These examples show practical starting points. We agree the design, configuration, development, and connections your project needs.
Invoice intake and review
Extract proposed supplier, date, and amount fields from incoming documents, flag missing values, and let staff verify them before creating an accounting record.
Internal knowledge assistance
Help staff find information in approved material and prepare a draft response, with source references, access boundaries, and review before external sharing.
Approval follow-up
Route requests by department or value, remind the assigned approver, and surface overdue decisions. Deterministic rules can handle this workflow without AI.
AN EXAMPLE FIRST LAUNCH
Document intake with a review queue
An example limited to one agreed document type and intake channel. Start with authorised sample documents, a review checklist, and explicit approval before any write to a connected system.
- 01
Receive an authorised document for processing.
- 02
Prepare proposed fields and flag missing information.
- 03
Have a reviewer approve or correct the record.
BEFORE WE BUILD
Questions worth
asking early.
Platform choices, existing data, and ongoing responsibilities belong in the conversation from the start.
Our delivery processDoes every automation need AI?
No. Fixed rules, scheduled tasks, and approval routing often need no model. We consider AI where varied inputs justify it and where results can be evaluated and reviewed.
Who checks AI output and approves data use?
Your authorised owner agrees permitted data, providers, retention, and required consent before use. Named reviewers remain responsible for sensitive outputs and consequential decisions; AI output is not assumed correct.
What if a model or connected service fails?
Agree a manual fallback, retry rules, and an owner for blocked items. Provider availability, usage limits, document quality, and ongoing service costs influence the scope and operating plan.