AI assistants built into your product or workplace tools that help people get work done faster.
Stack we work in
Figures as of Oct 2026
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A copilot is an AI assistant that sits inside the software people already use and helps them with the task in front of them: drafting, finding information, filling forms, explaining data or taking a next step.
We build copilots into your own web and mobile products, extend Microsoft 365 Copilot with agents and connectors that reach your business systems, build internal assistants in Copilot Studio or as custom apps, and connect them to your data with the right permissions. Each copilot is tested on real tasks and comes with usage and quality reporting.
Staff switch between many systems to find one answer.
The same emails, notes and summaries are written by hand every day.
Microsoft 365 Copilot is rolled out but cannot see the systems people work in most.
Customers expect AI help inside your product and competitors already offer it.
New users struggle to learn the product and contact support for basics.
Outcomes
The tasks the copilot covers, the platform choice and license implications.
In-app assistant, Microsoft 365 agent or Copilot Studio bot, deployed to your users.
Connectors, plugins or MCP servers that let the copilot read and act on your systems.
Identity-based access, topic limits and action confirmations, documented.
Quality scores, usage dashboards and feedback reporting.
User guides, admin documentation and source code in your repositories.
Prepare for meetings, summarize account history and draft follow-ups from CRM data.
Suggest replies, pull order details and summarize long ticket threads.
Answer policy and how-to questions in Teams and raise requests automatically.
Help users find features, build reports or configure settings inside your SaaS app.
Learn moreExplain variances, draft reports and look up figures across systems.
Mobile copilots that answer procedure questions and fill in forms by voice.
Add an assistant your customers will actually use.
Built with
Bring your business systems into Copilot.
Built with
Quick wins on Microsoft's platform.
Built with
One assistant for staff across your tools.
Built with
Make sure people trust it and use it.
Copilot Studio and Microsoft 365 Agents Toolkit for Microsoft-centered teams, Vercel AI SDK or CopilotKit for your own product. We recommend on fit, not on habit.
Answers follow the document permissions you already have, with per-tenant isolation for SaaS products, so nobody sees data they should not.
Test sets of real user tasks are scored before every release, with feedback buttons and quality dashboards after it.
A rollout plan, training material and success metrics are part of the handover, because a copilot nobody uses is not a result.
Featured case study
Every business already owns the sensor network it needs. CCTV records everything and tells you nothing — until someone reviews the footage, usually days after the loss.
Read the case study
Building an AI-Powered Wardrobe & Style Intelligence App
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Powerhouse Courier – AI-Powered Dispatch & Delivery Management Platform
Eaudvisor – AI Perfume Guide and Fragrance Advisor App
Recomate – AI Recommendation App for Food, Movies and Things to DoWe pick the tasks where a copilot saves the most time, and the users, data and systems involved.
You receive Prioritized task list
We decide between an in-app build, Microsoft 365 Copilot extension, Copilot Studio or a custom assistant.
You receive Architecture and license plan
A working copilot handles a few real tasks for a small group of users.
You receive Clickable, working prototype
We add actions, data connectors, permissions, guardrails and the final interface.
You receive Production copilot
A pilot group uses it on real work while we measure usage, time saved and answer quality.
You receive Pilot report
Wider rollout with training, then regular improvements from feedback and analytics.
You receive Adoption and improvement plan
Tech stack
AI and machine learning
Mobile
Frontend
Backend and APIs
Languages
Cloud and DevOps
Messaging and channels
Other tools
Engagement
One copilot for one team, built and piloted in a few weeks.
A full assistant built into your product, with actions and analytics.
Engineers who extend your copilots and agents over time.
It depends on where the copilot lives, how many tasks and actions it covers, the data sources and permissions involved, and the testing needed. Microsoft 365 and model licenses are separate. As a guide, a Copilot Studio agent or Microsoft 365 Copilot extension usually costs $10,000 to $30,000, and a custom in-app copilot for your product $30,000 to $120,000 or more (USD).
A chatbot usually answers questions in a separate window. A copilot works inside the app people are using, sees the context of their task and can take actions such as filling a form, updating a record or drafting a reply, with the user confirming.
Out of the box it knows your Microsoft 365 content. We extend it with declarative agents for specific roles, and connectors and API plugins that let it read and act on data in your CRM, ERP, ticketing or custom systems.
Copilot Studio is fast for internal assistants built on Microsoft 365 data and Power Platform. A custom build fits when the copilot is part of your own product, needs a custom interface, or must work outside the Microsoft ecosystem. We often use both.
Yes. We add an assistant panel to your web or mobile app, connect it to your APIs so it can take actions, and keep each customer's data separate, with usage limits per plan.
No. The copilot uses the signed-in user's identity, so it only retrieves documents and records that person already has access to. We test permission boundaries before launch.
Azure OpenAI for most Microsoft-centered builds, and GPT, Claude, Gemini or open models for custom copilots, chosen by quality, cost, latency and data rules for each task.
We track usage, task completion, feedback ratings and answer quality against a test set, and report time saved where it can be measured.
A Copilot Studio agent or Microsoft 365 extension usually takes 3 to 6 weeks. An in-app copilot for a product typically takes 8 to 16 weeks.
Book a call, and we talk through the goal, the systems involved and any constraints under NDA. You then get a short written proposal with scope, timeline and estimate. We need the roles the copilot serves, the systems and documents it should reach, and 20 to 30 real tasks or questions those users have. For Microsoft 365, a tenant with admin access for a test environment.
You own the code, prompts, connectors and test sets. After launch we track usage and quality, update models and connectors as platforms change, and offer a support agreement with agreed response times.
Book a call. We will identify the tasks a copilot would speed up and suggest the right platform.
