Smart Web WorksCustom AI workflows that do real work
When a process needs reading, judgement and writing, not just moving data, we build AI workflows and agents that handle the heavy lifting and bring a person in at the right checkpoint.
Why it matters
Traditional automation is great for rules. But plenty of valuable work is unstructured: reviewing a contract, summarising a 40-page tender, matching a CV against a role, categorising support tickets or drafting a tailored proposal. That is where large language models shine.
We design AI workflows as a chain of small, testable steps rather than one giant prompt. Each step has a clear input and output, structured data is validated, and confidence scores decide whether the result goes straight through or to a person for review. This keeps quality high and costs predictable, and it means you can see exactly what the AI did and why.
Solutions we deliver
Document understanding
Extract clauses, figures and obligations from contracts, tenders, invoices and reports into structured data.
Research and drafting agents
Gather information from your systems and the web, then draft proposals, reports or briefs for review.
Classification and routing
Categorise tickets, emails, applications or claims and send each to the right queue with a summary.
Quality and compliance checks
Check documents and records against your rules and highlight anything that needs attention.
Multi-agent pipelines
Specialised agents that research, write, check and publish, coordinated with clear hand-offs.
Evaluation & monitoring
Test sets, accuracy tracking and cost dashboards so you know the workflow keeps performing.
Our delivery process
Find the right task
We identify work where AI adds real value and define what a good result looks like.
Prototype fast
A working prototype on your real examples within days, so you can judge the quality early.
Harden for production
Validation, human review queues, logging, access control and cost limits.
Measure and expand
Track accuracy and time saved, then extend to the next process.
Where clients use it
- Tender and RFP response drafting
- CV screening and shortlisting
- Contract review and clause extraction
- Support ticket triage
- Content production with brand checks
- Insurance and claims intake
Tools we work with
We choose tools for your situation, not ours, and integrate with what you already use.
Common questions
What is the difference between an AI workflow and an AI agent?
A workflow follows a defined sequence of steps, with AI doing the reading and writing within each step. An agent decides which steps to take. Most business processes are better served by workflows, which are more predictable and easier to test. We use agents where flexibility genuinely helps.
How do you stop the AI making costly mistakes?
We validate every output against a schema, use confidence thresholds, and route uncertain or high-impact items to a person. We also keep a test set of real examples and re-run it whenever a prompt or model changes.
What does it cost to run?
Model usage costs are usually cents per task. We design workflows to use smaller, cheaper models for simple steps and reserve larger models for the hard ones, and we give you a cost dashboard.
Can it run on our own cloud?
Yes. We can deploy on Azure, AWS or Google Cloud in your account and region, including private model endpoints.
Often combined with
Business Process Automation
Remove repetitive admin by connecting your apps and letting software do the busywork.
Learn moreAI Assistants & Chatbots
Website chat, internal copilots and voice agents trained on your own knowledge.
Learn moreAI Strategy & Integration
A practical AI roadmap, policies and integration into the tools your team already uses.
Learn moreLet's talk about custom AI workflows
Book a free 30-minute consultation. We will look at your processes and show you where AI and automation can save the most time, with no obligation.