AI Automation
AI automation wired into the
workflows you already run
AI automation that survives your messiest real inputs, not a demo script. At KrutAI it cut a 30-minute task to 30 seconds. Every decision it makes is logged. We build the retrieval, the validation and the escalation rule that tells the model when to stop guessing and hand the work to a person.
The team retypes the same answers
Your team retypes the same answers, copies data between systems and reads every ticket from scratch. You have seen the demos that look perfect on clean inputs and then hallucinate confidently in front of a customer. The boring 90% is where the money is, and it is the part a demo never shows. Ask any vendor for a week of logs from the days the model got it wrong. Whether they have them tells you if guardrails exist.
How we work
How we automate it
Find the high-volume tasks
We count the work before automating any of it: how many times a week, how long each one takes, who does it. One workflow goes first, the one where the arithmetic pays back soonest. The rest waits, and we say which.
Ground it in your data
The model answers from your documents, tickets and records, with the source attached to the answer. When the source is not there it is built to say so rather than fill the gap.
Build with guardrails
Validation on the output, a confidence threshold, and a named person the work goes to when the threshold is missed. A system with nowhere to escalate will invent something instead.
Measure and tune
We build an evaluation set from your own past tickets and score every change against it. Prompts, retrieval and fallbacks get adjusted until the score stops moving.
What you get
Deliverables
- Deployed automation or assistant connected to your tools
- Retrieval pipeline over your documents and data
- Guardrail and escalation logic with logged decisions
- Evaluation set and accuracy dashboard
- Prompt and configuration documentation
- Cost and usage monitoring per workflow
Outcome
What changes for you
- Routine questions get answered without a human touching them.
- Documents get processed in seconds instead of queued for hours.
- You can see exactly what the AI did and why, every time.
Fixed written scope, agreed before we build · you own the code, infrastructure and accounts from day one
Questions, answered
How do you stop it from hallucinating?
We do not stop it, we contain it. Answers come from your documents with the source attached, output gets validated, and anything under the confidence threshold goes to a person instead of to your customer. Any vendor promising zero hallucination is selling you a demo.
Which models do you use?
Whichever one the task justifies. We resell nobody, so the choice comes down to cost per run, latency and where your data is allowed to sit — and we show you that comparison rather than assert it.
Can it run on our private data securely?
Data can stay inside your own infrastructure, with self-hosted or private-endpoint models, so nothing goes to an API you have not approved. The limit, plainly: we hold no compliance certification — not SOC 2, not HIPAA, none — and we will not sign a contract that says otherwise.