A copilot in the software your team already uses.
Drafting, summarising, looking things up and taking the next step — inside the tool, grounded in your data, aware of who is asking.
Help where the work happens — not in another tab.
A copilot is not a separate chatbot your team has to remember to visit. It lives inside the software they already work in — the CRM, the dashboard, the admin panel — one keystroke away, reading the record on screen and offering the next move. Draft this reply. Summarise this thread. Find the clause. Update the status.
The difference between a useful copilot and a novelty is grounding and role-awareness. Ours answer from your real data, not the open internet, and they know who is asking — a sales rep and a finance lead see different things, because the copilot respects the same permissions your app already enforces. Staff move faster without leaving their tools, and without seeing what they shouldn't.
- Embedded in your existing app — CRM, dashboard, portal or admin panel
- Grounded in your data, so it cites the record instead of inventing one
- Role-aware — it respects the permissions your software already enforces
- Takes the next action, not just words — draft, update, route, summarise
A second pair of hands, inside the app.
The value is not another window to open — it is help arriving in the tool your team already lives in, grounded and aware of who is asking.
In-app copilots
A copilot embedded in the software your team lives in, not a tab they forget to open. It sees the context on screen — the ticket, the deal, the document — and offers the next step right there, so help arrives where the work is.
Draft & reply
The blank box is where time goes. The copilot drafts the email, the reply, the summary, the update note — in your tone, from the actual record — so a person edits and sends instead of starting from nothing.
Summarise & look up
Long threads, dense documents and scattered records collapse into a straight answer. Ask what changed, what a policy says, or where a number came from, and get it from your data — with the source — without digging through tabs.
Take the next action
A copilot that only talks is half a tool. Ours can act — update a status, create the task, route the case, fill the fields — through the same gated tools we use for agents, so the next step happens with a click, not a chore.
Grounded & role-aware
Every answer comes from your content and respects who is asking. The copilot honours the permissions your app already enforces, so a rep, a manager and a finance lead each see exactly what they should — and nothing they should not.
Fits your stack
We build the copilot into what you already run rather than asking you to switch. Because we also build the web apps, products and ERP it lives in, it ships as a native feature with auth and data wired in — not a widget bolted on the side.
The AI meets your team where they already work.
Grounded in your data, role-aware, and built into the tool — not bolted beside it.
Same tools, less friction.
Not a new app to learn — the one your team already uses, quietly doing more of the busywork.
Built in, not bolted on.
We start where your team loses time, ground the copilot in real data, and embed it as a native feature of the app itself.
Find the friction
We watch where your team loses time inside the app — the drafts, the lookups, the status updates — and pick the moments a copilot clearly helps.
Wire the data
We connect the copilot to your real content and set up retrieval, so every answer comes with a source and stays current.
Set the permissions
We map roles to what the copilot may read and do, so it honours the same access rules your software already enforces.
Build it in
We build the copilot into the app as a native feature — the shortcut, the panel, the actions — not a widget stapled on the side.
Ship & refine
We deploy with logging and cost controls, then refine prompts, grounding and actions as real use shows what staff actually reach for.
Copilots inside real products.
A copilot needs an app to live in and an agent to hand the longer jobs to.
Things you might be wondering.
What is an AI copilot, exactly?
How is a copilot different from an AI agent?
Will the copilot see data a user shouldn't?
Can you add a copilot to software we already have?
A tool your team lives in that could do more?
Tell us where the time goes. We will show you where a copilot fits and how we would build it into your app.