Innovate Software
Deployed on Azure
Runs in your subscription, architected by a Microsoft Certified Azure Solutions Architect Expert. Scaling, backups and monitoring are part of the build, not a later project.
AI Agent Suite
An AI that can actually do things.
Most assistants answer questions. This one books the seat, moves the booking, checks the parcel and takes the payment — in the systems you already run — and knows when to put a person on it instead.
In production today for a national coach & courier operator, handling voice, web chat and WhatsApp against a live reservations platform.
How it fits
Three customer channels, one agent, your systems of record.
The agent is not a separate island of information. It reads and writes the same platform your branch staff use, so what it tells a customer is what your business actually knows — and every conversation is one record, whichever channel it arrived on.
01 · Conversational AI Agent
It finishes the job, instead of handing over a phone number.
The same agent answers on the phone, in the chat widget on your website and on WhatsApp — and it is connected to your platform, so it can quote a real fare, hold a real seat, move a real booking and take a real payment. Customers get an answer in seconds at two in the morning, and your team stops re-typing the same five questions.
- Books and changes for real. Availability, fares, seats, reschedules and cancellations against your reservations system — not a form that emails someone.
- Takes payment. A secure link through your existing gateway, or a reservation held for the counter to collect. The customer's own words decide which.
- Checks things up. Timetables, parcel tracking, branch details, loyalty points — read live, never from a stale copy.
- Verifies before it reveals. Booking details are withheld until the caller proves the booking is theirs.
- Knows its limits. When a request needs judgement or authority it does not have, it says so and fetches a person.
02 · Live Agent Console
The handover a customer never has to notice.
When the AI reaches the edge of what it should decide, the conversation moves to a person — in the same thread, on the same screen. Your agent opens it already knowing who the customer is, what was promised, and what the booking system says right now. No transfer, no "can you repeat that", and no separate helpdesk product to buy.
- The customer card. Name, contact, trip, fare, bags and booking codes — everything the conversation already established, curated rather than dumped.
- Live booking status. The card says a booking exists; this asks the booking system whether it is paid, reserved or released, because that can change at a counter.
- Saved and drafted replies. Type
/for the team's canned answers, or ask for a draft and send it once you agree with it. - Who is on shift. Presence and load across the team, so a waiting customer is visible to everyone, not just whoever is looking.
- Switchable per channel. Turn human handover on for web chat and off for WhatsApp — or off entirely — per environment.
03 · Cost & Usage Dashboard
AI with the meter left running where you can see it.
Conversational AI is usually sold on promises and billed in arrears across four different providers. This ships with the bill attached: what each layer cost, per day and per channel, at rates you can edit to match the contracts you actually signed — so the decision to roll it out further is an arithmetic one.
- Metered, not guessed. Model usage is read from the actual runs; speech is measured from each call's own records, not from a pooled estimate.
- Split by layer. Language model, speech-to-text, text-to-speech, messaging and fixed infrastructure, each with the usage behind the number.
- Unit economics. Cost per conversation, per voice minute and per turn, plus what the monthly bill becomes at 100, 250 or 1,000 conversations a day.
- Your rates. Every unit price is editable on the page, and a what-if recalculates without touching the stored defaults.
- Exportable and reconcilable. CSV and PDF for the board pack, and a check against the providers' own billing.
Where it runs
Your tenant, your data, your integrations.
This is not a seat on somebody else's multi-tenant platform. It is deployed into your Azure subscription, talks to your systems over your own credentials, and the conversation history belongs to you.
Integrated, not bolted on
We connect to the reservations, payments, tracking and customer systems you already run. If there is no API for something, that is an engineering problem we are used to solving.
Named staff accounts
Every staff surface sits behind per-person accounts with role-based permissions and an audit trail — no shared password taped to a monitor.
Your conversation history
Transcripts and logs live in your database, with retention you set, searchable and exportable. Nothing depends on us keeping a copy.
Getting there
Live on one channel first, measured before it is widened.
01
Map the conversations
We start from what your customers actually ask and what your staff actually do about it — including the requests an AI should never decide alone.
02
Connect the systems
Read access first, then the write operations, each one gated so the agent cannot commit anything the customer did not ask for.
03
Launch one channel
Usually web chat, with the console staffed behind it. Real conversations, a small audience, and the cost dashboard on from day one.
04
Widen on the numbers
Add WhatsApp and voice once the first channel's resolution rate and cost per conversation say it is worth it.
Next step
Tell us what your customers keep phoning about.
That conversation is usually enough to say whether this would pay for itself, and which channel to start on. If it would not, we will say so.