05 /AI Integration
AI in Business Processes
We work with process owners to identify where AI can reduce repeated reading, searching, classification or drafting. The work includes readiness, tool selection, a focused pilot, integration and team adoption. A document-processing or internal-knowledge workflow has to fit the real approval path, not just generate a plausible answer. We measure the whole task, including review and exception handling, before recommending that the pilot becomes a maintained business capability.
What you get
A prioritised use-case map
Review frequency, effort, error cost, data availability and approval requirements with the people doing the work. Distinguish a worthwhile AI use case from a problem better solved by a form, search filter or ordinary rules-based automation.
Readiness and governance decisions
Identify data owners, source quality, lawful access, permitted providers, retention and escalation responsibilities. Define which actions may be drafted and which require a person. Sensitive, high-impact decisions are excluded from the first pilot unless the appropriate controls are established.
A pilot connected to existing tools
Start with a bounded workflow such as document intake, internal knowledge search or drafting a support reply. Integrate agreed systems rather than asking staff to copy private data into unmanaged accounts. Validate extracted fields and record the proposed action before it can change a business record.
Training and an adoption plan
Practical sessions using approved examples show staff what to trust, what to check and how to escalate. Give the process owner a feedback path and exception queue. Adoption is measured through completed tasks and user experience, not mandatory logins.
A business-impact review and operating plan
Compare handling time, correction time, throughput and error rate for the same task. Show the usage, licence, integration and review costs. Agree an owner for source changes, credentials, incidents and maintenance before widening access.
How it runs
- 01
Observe the process
Follow a real task from input to approval. Establish volume, wait time, manual work and exceptions with the process owner.
- 02
Choose and bound the pilot
Compare available tools with a custom integration, agree the permitted data and actions, and define stop conditions and a useful evaluation set.
- 03
Integrate with people
Connect approved sources and tools, test exception paths and train a small user group. Keep the existing manual route available during evaluation.
- 04
Decide on evidence
Review net effort and quality alongside costs. Hand over the operating plan, revise the approach or stop the pilot if the benefit does not justify maintenance.
Where this stops
- An instruction to replace staff or remove required approvals.
- An ROI promise based on theoretical hours without adoption and review costs.
- Unrestricted bots sending messages or changing records across the company.
Related reading
- AI adoption & engineering
Claude vs ChatGPT: choose by task, product and evaluation
A dated buyer comparison for code review, test generation, document analysis and internal assistants. Separate chat products, APIs and coding tools before comparing results.
- AI adoption & engineering
Build or buy AI: compare the whole operating workflow
Choose an existing tool, a custom integration or a non-AI alternative using task fit, data boundaries, ownership and total operating effort.
- AI adoption & engineering
Estimate AI feature costs and ROI without a fictional multiplier
Separate implementation, usage, review and maintenance. A worked hypothetical estimate shows how adoption and correction time change the business case.
FAQ
AI in Business Processes questions we hear often
Where should a non-technical team begin?
Bring one repetitive task and a few approved examples. We examine the full process with its owner, including exceptions and review, then compare a small pilot with an existing-tool or non-AI alternative.
Can the workflow update our CRM or send customer replies?
Those are separately authorised actions with business consequences. The first version can draft or propose them. If execution is in scope, server-side access checks, approval, duplicate prevention and an audit record must be agreed.
What if the pilot does not save time?
That is a useful result. We show the evaluation and cost assumptions and recommend whether to narrow, revise or stop. A polished demo is not a reason to commit to an unhelpful ongoing system.
Practical companion resources
Contact
Have a project in mind?
Tell us what you are building — or what keeps breaking. You will get a considered reply from an engineer, not an autoresponder.