A chat widget bolted onto the corner of your app that answers generic questions isn't a copilot — it's a support ticket deflector with a better UI. A real copilot understands your product's data and can act inside it.
We build copilots grounded in what your product actually knows — your data model, your workflows, your users' context — so it can answer specific questions and take real actions, not just point users toward a help article.
The copilot becomes part of the product experience, not a separate tool users have to remember exists.
What We Build Into Your Copilot
1. Product-Grounded Understanding: The copilot is trained on your product's actual data model and terminology, so it understands what a user means by "last month's invoices" in the context of your specific application.
2. Real Actions, Not Just Answers: The copilot can create a record, update a status, or trigger a workflow directly through your app's own APIs — a user asks and the task gets done, not just explained.
3. UX That Fits Your Product: Inline suggestions, a command palette, or a contextual side panel — we design the interaction pattern that fits how your users already work, not a generic chat bubble.
4. Scoped to What Each User Can Do: The copilot respects your app's existing permissions, so it never offers to do something a given user isn't authorized to do.
5. Built to Improve With Usage: We track what users ask the copilot to do and where it falls short, feeding that back into how it's trained and what it's given access to.
Why Choose Akantik for Custom Copilots?
Wrapping a generic LLM in your brand colors isn't a copilot strategy — it's a demo that falls apart on the first specific question. We build copilots that actually know your product.
Deep Integration, Not a Widget: The copilot is wired into your product's actual APIs and data model, so it can act, not just chat.
Designed as Part of the Product: Our UX and engineering teams build the copilot alongside your product's existing design language, so it feels native instead of bolted on.
Iterative, Not One-and-Done: We launch a scoped version, watch how users actually use it, and expand its capabilities based on real usage instead of a speculative roadmap.
Thinking about adding a copilot to your product? Let's scope what it should actually be able to do.
Common questions about building AI copilots embedded into your product.
A custom copilot is an AI assistant built directly into your product, grounded in your product's own data and workflows.
Unlike a generic chatbot, it understands your specific terminology and can take real actions through your app's APIs.
A chatbot answers questions.
A copilot:
Yes — this is the core difference from a chatbot. Akantik wires the copilot into your application's own APIs so it can:
All based on natural language requests.
Akantik builds copilots for:
Any product with an API surface the copilot can be wired into.
A scoped first version covering a handful of core actions typically takes 6-10 weeks.
Akantik launches in stages, expanding the copilot's capabilities based on how users actually engage with it.