A lot of what a fintech, insurtech or software team needs to automate isn't a sales-qualification problem with a fixed shape — it's a question of whether the agent actually understands your own data. Whether a request is routine or needs escalation often depends on account status, policy details or product tier, none of which a packaged tool has access to out of the box.
Custom AI Agent Development is scoped against your own systems from the start — the agent reads what it needs to from your actual account, policy or product data, not a template built for an average business.
Typical industries
- Fintech and payments companies
- Insurtech and insurance-adjacent software
- B2B software companies with proprietary account or product data
- Technical teams operating their own internal APIs
Common lead-handling problems
- Support or ops decisions that depend on account, policy or product state a packaged tool has no access to
- Qualification or routing logic that needs to reference your own product tiers, policy status or account history, not a fixed script
- Internal processes spread across multiple systems — billing, policy admin, product data — with no single agent that understands all of them
- Engineering time spent building internal glue code instead of product, because no packaged tool understands your specific data model
Built to understand your own account, policy or product state
The agent is scoped against your actual data model during setup — account status, policy details, product tier, whatever the decision genuinely depends on — so it's answering from your real system state, not a guess about how a business like yours probably works.
Multi-step agents, not single-response bots
Most of what's worth automating this way isn't a single reply — it's a sequence: check something against an internal system, decide what it means, take the next step, and write a structured result back. That's the shape a custom agent is built for, not a one-shot chatbot response.
Support routing, eligibility triage, and ops coordination
In practice that's things like: a support-routing agent that checks account or policy status via your internal API before deciding how a request should be handled, an eligibility-triage agent that references your own product rules instead of a one-size-fits-all checklist, or an ops agent that coordinates billing and product systems so one process doesn't need someone manually cross-checking both.
How delivery actually works
LATYNEX Digital has no office in Toronto or the wider Canada, and we don't claim one. Delivery is remote — the same team and process as every other market we serve.
Questions
Can this actually read from our own systems?+
Yes — the exact scope of what it reads and what actions it's allowed to take on your systems gets defined during setup, against your real APIs and data.
Does this replace our existing systems?+
No — it reads from and writes back to the systems you already run. It doesn't replace your CRM, billing or policy admin systems; see Integrations for how those connections actually work.
How is this priced?+
Scoped work, priced after a Revenue Audit — not a fixed monthly price, since the work depends on how many systems the agent needs to read from and act on.
Do you only work with fintech and insurtech companies?+
That's where the clearest fit is, but the same custom-scoping logic applies to any business whose process depends on its own account or product data.