AI Workflow Automation
Connect the steps between incoming documents, business rules, employee reviews and your existing applications. We design bounded workflows that use AI where interpretation helps and conventional rules where the answer must be exact.
Service scope
Use this service when the steps are known but your team still moves information between emails, documents and business systems by hand. We map the process from its trigger to its final record, including the people who review exceptions.
Capture incoming requests, invoices or reports and extract the information the next step needs. Check required fields, formats and business rules before passing a result onwards.
We agree the document types, sample variations and review criteria, so unclear inputs have a defined route to a person.
Link the workflow to agreed applications, such as a CRM, finance platform or internal database. Map fields, identify which system owns each record and prevent duplicate updates.
Triggers, retries and failure handling are part of the design, including how to resume work after a connected service is unavailable.
Give employees a review queue with the original input, proposed result and the reason it needs attention. Keep agreed consequential actions behind approval.
Record what ran and what changed, and test incomplete inputs, rejected items and failed updates alongside the successful route.
Illustrative project examples. The work included is agreed for your project.
An email becomes a structured request with the customer, issue and required fields. Missing details go to an employee before the approved request is added to the service system.
Extract invoice details, check required fields against agreed rules and prepare a record for review. Ambiguous values and possible duplicates stay in an exception queue.
What you receive
The written proposal defines the deliverables and acceptance checks for your engagement. A typical implementation includes the following.
A process map with triggers, inputs, business rules, approval points and the applications in scope.
The agreed connections, extraction or classification steps, validation and review handling, with configuration or source code as defined in the proposal.
Representative examples covering correct processing, incomplete data, duplicates and system failures, reviewed with the process owner.
Run instructions, access requirements, usage visibility and a recovery procedure, with ongoing support scoped separately.
Bring a walkthrough of the current process, a small representative sample and the names of the systems involved. We agree data handling and access before reviewing confidential material.
No. Predictable calculations and fixed decisions usually belong in rules. AI can assist with varied text and documents inside a controlled workflow.
A named process owner, representative examples, access to relevant interfaces and agreed acceptance cases. We scope one clear boundary before extending it.
A workflow follows an agreed sequence. An agent can choose among permitted tools to complete a task. We help identify which approach fits the work.
Related services: AI Workflow Assessment AI Integration & Support
Read how we work and about the team. Cloud architecture is a supporting delivery capability.
Tell us about the work, the people involved and the outcome you need. We will agree an appropriate next step.
Discuss your project