Book a call
← Services · 04 / 06

AI apps

Assistants and automations that work on your own data and take repetitive work off your team, with people in charge.

  • Every stage
  • In production: Zesty AI tools
  • Suggest first, then act

Why it matters

Useful AI is not a chatbot on the homepage. It is a step inside work your team already does, that saves time and can be checked.

Zesty ships ten AI tools for restaurants, and each one starts at Suggest: it drafts, people approve, and people stay in charge of what changes.

The model sees only the data it needs, with private details removed, and every action goes through the same permissions and audit trail as the rest of your system.

What we build

01Assistants on your dataAsk about stock, orders or customers in plain language and get answers from your own records.
02Document draftingMemos, replies, proposals and reports drafted from your data, ready for a person to edit and send.
03AI steps in workflowsClassify an enquiry, summarise a ticket or flag an unusual order inside the flow that already exists.
04Messy input to structureTurn notes, PDFs and spreadsheets into clean records your system can use.
05Approval flowsEvery AI suggestion is reviewable, editable and logged before it changes anything.
06GuardrailsRate limits, access checks on the server and private data stripped before it reaches a model.

How we build AI apps

  1. 1Find the repetitive jobStart with a task your team repeats daily and can judge quickly, not with the technology.
  2. 2Suggest before actThe first version drafts and recommends. People approve, edit or reject, and every outcome is recorded.
  3. 3Keep data and access tightThe model only sees what the user is allowed to see, with sensitive fields removed. Privacy terms say so plainly.
  4. 4Check it by handWe review real outputs with your team, test access with separate users and only then widen what the tool can do.
  5. 5Launch and stayDeployed with a runbook, a tested backup restore and error tracking watched after release. The same team keeps it patched and running.

The stack we reach for

Leading model APIs
Language modelsChosen per task for quality, cost and data handling, behind a layer you can switch.
Postgres · queues
Your dataAnswers come from your own records, with long tasks run in the background and retried safely.
Server-side rules
ControlThe same permissions, audit trail and rate limits as the rest of your system.
Built forOwnersOperations teamsSupport teamsAnalysts

AI in production

See all work →

Built into products, not bolted on.

01ZestyUse case →

Questions

Something else on your mind? Ask it on the free 30-minute call.
01Will AI replace our team?

No, and we do not build it that way. It takes the repetitive drafting and sorting off people, so they spend time on decisions and customers.

02Is our data used to train models?

We use providers and settings that do not train on your data, send only what a task needs and remove private details first. Your privacy policy will say exactly what happens.

03What if the AI gets it wrong?

That is why tools start at Suggest. A person reviews before anything changes, and mistakes become examples we use to improve the tool.

04Can you add AI to the system we already have?

Usually yes. We connect to your existing data and add AI steps where they save the most time.

06Automation & portals →Where AI steps sit inside billing, documents and support.05CRM & booking →Classify and follow up enquiries automatically.JournalAI in operations →Practical use cases for Indian SMEs, beyond the hype.

AI that does real work.

A free 30-minute call. Bring the task your team repeats every day.
Pick a dayMon – Sat
Request Tue 20 Oct →