Make work flow
Make the systems you already use work better together.
When staff move information between inboxes, documents and business systems, work slows down at every handoff. We design and implement connected workflows that reduce repetitive handling while keeping approvals and exceptions visible to your team.
Fix the manual steps between tools
An RFQ may arrive by email, be checked in a spreadsheet and then be copied into a customer record. An invoice may wait because an exception has no clear owner. These are potential workflow opportunities, not claims of delivered client projects: the aim is fewer handoffs, less re-entry and clearer accountability.
What we design and implement
- Email and document intake with extraction of agreed information and checks for missing or inconsistent fields.
- Rules-based routing, record matching and draft generation, using AI only where it adds a useful capability.
- Connections to approved business systems through available APIs, databases or other agreed access methods, subject to feasibility.
- Human approval checkpoints for consequential decisions, external communications and financial actions.
- Exception queues, failure handling and audit records so staff can see what happened and intervene.
What a scoped delivery includes
- A workflow design with inputs, outputs, owners and acceptance criteria.
- Configured automation and the integrations explicitly agreed in scope.
- Review screens or lightweight operational interfaces where needed for approvals and exceptions.
- Test scenarios covering normal processing, missing data, duplicates and integration failures.
- Handover documentation and basic training for the people operating the workflow.
Prove the workflow before production
A bounded pilot tests representative cases against an agreed baseline, such as handling time, re-entry effort or exception rate. These are measurement goals, not guaranteed results. Production access, rollout, training and ongoing support are confirmed as distinct delivery responsibilities before deployment.
Controls and integration boundaries
AI output is not automatically a verified business fact. Your team retains approval of consequential actions, including quotations, financial records and customer-facing messages. We agree data access, provider use, permissions and logging before implementation. A named software platform is not a promise of a certified connector or partnership; feasibility depends on its available access, permissions and limitations.
What we need to get started
- One defined workflow with an accountable owner and staff available to review test results.
- Representative redacted documents or records, plus the business rules used to check them.
- A list of source and destination systems, with confirmation that approved integration access can be arranged.
- Agreement on who approves outputs, handles exceptions and authorises production changes.
Discuss one workflow first
Tell us where information enters, where it needs to go and which manual step creates the most friction. We assess feasibility and propose a bounded pilot before a wider rollout. Scope and pricing confirmed after assessment
Before you start
A clear scope. A considered next step.
Scope and pricing confirmed after assessment.
Does every workflow need AI?
No. Predictable steps often work better with rules, validation and conventional integration. AI may help interpret variable documents or prepare drafts, but it is one possible step within a controlled workflow.
Can you connect our existing software?
We review available APIs, export options, permissions and vendor restrictions before confirming an integration. Where access is limited, we explain the constraint and any practical alternative rather than promise a connection in advance.
What happens when information is wrong or a connection fails?
The agreed design specifies validation, exception routing, failure visibility and recovery responsibilities. Consequential outputs require human review. Ongoing monitoring and support are separately scoped rather than assumed to be included indefinitely.
Will our documents be sent to an AI provider?
Not automatically. We agree whether a model provider is needed, which information it may receive and the relevant data handling requirements before implementation. Do not send confidential examples with an initial enquiry.
How much will it cost and how long will it take?
Scope and pricing confirmed after assessment. Delivery timing depends on the workflow, access, data quality, testing and approvals; the proposal sets out the agreed plan without assuming a standard timeline.
A practical starting point
What is the most repetitive
process in your business?
Show us where work slows down. We'll help you identify a practical starting point and what it would take to improve it.