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New projects
A paragraph about the problem is enough to start. We reply within two working days, usually with questions rather than a quote.
AI · Service AI workflow automation
Automate the repetitive work between your systems with AI: triage, data entry, summaries and approvals, with people kept in the loop where it matters.
In short
AI workflow automation uses language models to handle the judgement-heavy steps that rule-based automation could not: reading an email and deciding what it is about, pulling details out of a document, drafting a reply, or routing a request to the right person. Combined with ordinary integrations, it removes hours of copying and checking between systems — while leaving decisions with real consequences to people.
- How to engage
- Product build, Dedicated engineering pod
- Practice
- AI
Signs this is the right service
- Teams copy information between email, spreadsheets and business systems all day.
- Requests arrive in free text and someone has to read, classify and route each one.
- Rule-based automation broke because the inputs are too varied.
- Turnaround times are long because work waits in someone's inbox.
What you get
Process mapping
Each step of the workflow, who does it today, and which steps need judgement and which only need data moved.
AI steps
Classification, extraction, summarising and drafting with models, each tested against real past examples.
Integrations
Connections to email, CRM, ERP, ticketing and databases, with retries and error handling.
Human review
Approval queues for anything uncertain or high-impact, with the AI's reasoning shown to the reviewer.
Monitoring
Accuracy, volumes, time saved and cost tracked per workflow, with alerts when quality drops.
The process
- 01
Pick one workflow
High volume, clear rules for success, and a team that wants it automated.
- 02
Measure today
How long it takes and how often it goes wrong now, so the improvement can be proven.
- 03
Automate with review
Launch with people approving outputs, then reduce review as accuracy is shown.
- 04
Expand
Reuse the same integrations and evaluation for the next workflow.
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AI workflow automation: common questions
How is this different from RPA?
- Robotic process automation follows fixed rules and breaks when inputs vary. AI steps can read and interpret free text and documents, so they handle the variety RPA cannot — and the two are often combined.
Will it replace staff?
- Usually it removes the repetitive parts of jobs, so people spend their time on exceptions and decisions. Where roles change is a decision for you.
What if the AI makes a mistake?
- Uncertain or high-impact items go to a person for approval, every action is logged, and accuracy is monitored so problems show up early.
Can it use our existing tools?
- Yes. We integrate with the systems you already use rather than replacing them.
06 / Let’s build
Bring us the difficult problem.
02
Careers
Engineers, designers and researchers who like systems that are hard to get right. Send something you built and what you would change about it now.
03
Studio
Based in India and working remotely, with overlap hours agreed up front so your team always has a time to reach us.
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Read
Guides on AI agents, RAG, MCP, tokenization and chain abstraction, written by the engineers who build them.