Spend less time moving information between systems.
We look into repetitive tasks, check how your tools can connect and design workflows with clear responsibilities. AI can help with interpretation or drafting where it’s useful; predictable tasks may only need reliable rules.
These are examples to investigate, not a list of integrations already installed. Compatibility, access and provider terms are checked for the tools you use.
Enquiry routing and records
Input
An enquiry submitted through an agreed form.
Action
Check the required fields, apply routing rules and prepare a record in the agreed destination.
Output
A record and a task for the responsible person.
Review and exceptions
Incomplete or unclear enquiries go to human review. Failed record creation is surfaced for retry or manual handling.
Reminders and follow-up tasks
Input
An agreed date or change in a record’s status.
Action
Create a reminder or follow-up task according to the rules you approve.
Output
A task with an owner and due date.
Review and exceptions
Check duplicate triggers and cancelled records. Delivery failures are recorded and brought to the agreed person’s attention.
Document information for review
Input
An authorised document in a supported format.
Action
Extract or prepare the relevant fields for a person to check.
Output
A draft structured record linked to its source.
Review and exceptions
Missing or uncertain fields remain flagged. A person checks the source before the information is accepted or used.
Reporting from agreed sources
Input
Records from named systems and a defined reporting period.
Action
Combine and summarise the agreed fields using consistent rules.
Output
A report showing its period and data sources.
Review and exceptions
Missing feeds or stale records are identified. The report is reviewed before business decisions are made from it.
AI-assisted categorisation or drafting
Input
An enquiry or other authorised text.
Action
Suggest a category or prepare a draft response where interpretation is useful.
Output
A suggestion for a person to approve, revise or reject.
Review and exceptions
Unclear or unsuitable output is held for review. External sending is a separate, explicitly agreed step.
Try a small example
Keep a person in the decision.
Follow a fictional enquiry from a sample record to a reviewed response. This demonstrates the interaction, with no live AI or third-party integration.
Illustrative demonstration
From an enquiry to a reviewed response
These are fictional enquiries. Categorisation and responses use fixed examples, not an AI model. No CRM, email service or other external system is connected. All changes stay on this page and disappear when you reset or leave.
Choose a fictional enquiry, then prepare its sample record.
Alex at Example Workshop
alex@example.test
We need a new website for our furniture repair workshop. Customers should be able to see our services and send an enquiry.
3. Review the sample response
Prepare the record to see a suggested response. You will be able to approve, revise or reject it here.
A workflow has to keep working after the first run.
Rules before AI where possible
A known field, date or status can often drive a predictable rule. AI may be useful when text needs interpretation or a draft needs preparing, but its output can be wrong. We agree where review is required and what must never happen automatically.
Compatibility and access
We check APIs, account permissions, provider limits and supported data formats. Some tools need paid plans or do not provide suitable integration access. A workaround is considered only if its limitations and maintenance are acceptable.
Failure and missing information
The scope defines how to flag incomplete records, handle duplicates and respond when an external service fails. Retry limits, manual review and the person responsible are agreed for the workflow.
Data and ongoing maintenance
We agree which data can be processed and where it may go, including any AI provider. Monitoring, access reviews and changes to external services require an ongoing plan. Hosting, subscriptions and AI usage costs are identified separately.
Useful details
Before we start
Does every automation need AI?
No. Predictable rules are often enough for routing, reminders and record updates. AI is considered where interpretation or drafting adds something useful, with review boundaries appropriate to the task.
Will this work with our existing tools?
That depends on the tools, plans, permissions and APIs available. We inspect those details before agreeing an integration. The demonstration on this page does not connect to an external system.
How do we decide what to automate first?
Choose a repeated task with a clear input and output, known exceptions and someone who can review it. We map the current steps and agree a bounded initial workflow, then test it with representative sample data.
What will it cost to run?
Build costs depend on workflow complexity, integrations, data handling and review requirements. Ongoing monitoring, changes, provider subscriptions and any AI usage are scoped separately. Savings are not assumed or guaranteed.
From the blog
Plan your next step
Read the practical details before deciding what your project needs.