AI Apps
Purpose-built applications that sit on top of your existing stack. Your data. Your playbooks. Your voice. Not a generic template dressed up in your logo.
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After years of deploying AI manually, stitching together tools that weren't built for each other, we decided to build the platform we always wished existed. One that knows your business before it starts working in it.
Purpose-built applications that sit on top of your existing stack. Your data. Your playbooks. Your voice. Not a generic template dressed up in your logo.
Specialist agents that act, decide, and operate across sales, marketing, service, and RevOps — each one trained on how your team actually works, not how it's supposed to work.
The connective tissue between your tools, your people, and your agents. Built for the complexity of real enterprise operations, not a demo environment.
Your institutional knowledge — processes, playbooks, historical context — fed into every agent so it doesn't start from zero every conversation.
Enterprise-grade guardrails that let your agents move fast without going off-script. Security, compliance, and observability built in from the start.
Every deployment is tied to a number. We track it, report on it, and iterate until it moves. If it doesn't move, neither do we.
Enterprise AI transformation rarely fails because of technology. It fails because teams struggle to identify the right opportunities, define success, align stakeholders, and operationalize AI across the business.
Drop into code when you need to. Extend any workflow with your own logic, call your services, and keep full control of how the platform behaves — without rebuilding the plumbing every time.
Enforce access, audit every action, and roll out AI across teams on infrastructure you already trust. Central controls, scoped credentials, and full observability from day one.
Together with your marketing and sales team, we build a system where both departments can no longer function without each other.
Enterprise AI transformation rarely fails because of technology. It fails because teams struggle to identify the right opportunities, define success, align stakeholders, and operationalize AI across the business.
Identify high-impact use cases, workflows, and opportunities where AI can drive measurable business outcomes.
Design the agents, data flows, and guardrails that fit how your business actually operates.
Ship the workflow end to end — trained on your systems, tested with your teams, and ready for production.
Measure outcomes, refine from real feedback, and roll proven workflows out across the organisation.
Drag a trigger onto the canvas, connect your logic and AI steps, and deploy — without waiting on engineering, without YAML, without infrastructure. If you can describe the process, you can automate it today.
Transform business requirements into production-ready AI applications, workflows, and specialized agents through a guided development experience. Coverage AI helps teams move beyond prototypes by combining structured experiences, grounded intelligence, and flexible execution models that align with how work actually happens.
Step-by-step setup aligns intent, behavior, and expected outputs before a single user touches the app. To adapt prompting, draft generation, and runtime config to your team.
Define exactly what goes in and what comes out, so results are predictable, reviewable, and safe to hand to the rest of the business.
Connect the systems and documents your teams already rely on, so every answer is grounded in what is actually true right now.
Run the same app interactively, in bulk, or fully automated on a trigger — without rebuilding it for each mode.
Version every change, test against real payloads, and publish with confidence into a portfolio you can actually govern.
Ship AI into the systems your teams already use, with the guardrails and rollout controls enterprise delivery actually requires.
Monitor behaviour, catch drift, and keep every workflow accountable to the outcome it was built for.
Central controls, scoped credentials, and full audit trails — so scaling AI never means loosening control.
Turn proven workflows into an operating model every team can build on, measured against the numbers that matter.