Process automation that holds up on the exception cases
Automating the workflow end to end, including what happens when the model is unsure or the input is malformed.
2 wks
To a working POC
15
AI capabilities we build
9
Years in business
What you get
What every automation includes
Automation saves time only when the exceptions are handled. We design for them from the start.
Talk through the use caseThe exception path designed before the happy path
Confidence thresholds that route to a person
Volume and error rate visible in production
Our process
Four steps from manual process to monitored workflow
We automate what is stable and keep a person on what is not.
- 01
Map the manual process
Each step, who does it, how often, and where it goes wrong.
- 02
Choose what to automate
Rank by time saved and risk, and keep people on the judgement calls.
- 03
Build & connect
Models, rules and your tools (email, CRM, ERP, sheets) wired into one workflow.
- 04
Monitor & improve
Runs logged, exceptions queued for review and results reported weekly.
Tech stack
What we build it with
Four layers, each chosen per project. Open one to see what sits in it and why.
Models & frameworks
The layer that generates. Chosen per task against quality, latency and cost.
Retrieval & data
Where grounded answers come from: your documents, indexed and tuned.
Serving & ops
How it runs in production, and how you see what it is doing.
Evaluation
How we know the output is good enough before a user sees it.
More AI capabilities
Fourteen more ways we apply AI
AI Software Development
End-to-end AI product builds.
AI Chatbot Development
Smart, conversational AI for business.
AI Agents Development
Linked agents for smarter tasks.
AI Voice Agents
Voice intake and call handling.
Generative AI Solutions
AI that creates and innovates.
LLM Chatbot Development
Grounded in your own content.
LLMs for SMEs & Enterprises
AI built to scale with you.
RAG Model Development
Smarter AI with search + generation.
GPT Integration
AI seamlessly in your workflow.
Prompt Engineering
Better prompts, better results.
Machine Learning Development
AI that learns from your data.
NLP Development
Classification, extraction, sentiment.
AI MVPs & POCs
Proof before you commit to a build.
AI Consulting
Where AI pays off, and where it doesn't.
Frequently asked questions
The questions we get asked about AI
Data handling, output quality, cost and ownership.
Start with one repetitive process
Two weeks, one workflow automated and a clear number for the time it saves.