Why Coverage AI succeeds where most enterprise AI platforms fail.
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.
Discover
Step 1
Identify high-impact use cases, workflows, and opportunities where AI can drive measurable business outcomes.
AI Application Builder
Create business-ready AI applications and experiences — guided setup, structured outputs, versioning and publishing.
Enterprise Knowledge & Connectivity
Connect enterprise systems, data, and tools — provider catalog, knowledge hub, protocol and runtime interoperability.
Architect
Step 2
Work with Coverage AI architects to design the right agent, workflow, governance, and deployment strategy.
Agent Development & Orchestration
Build, connect, and operationalize specialized AI agents — knowledge grounding, unified agent catalog, shared chat plane, interoperability paths.
Governance & Security
Enterprise control and safe deployment — governed execution, credential governance, identity and RBAC.
Build
Step 3
Create and deploy custom AI applications and agents using the Coverage AI platform and implementation support.
Workflow Automation
Turn AI into operational execution — trigger-driven execution, AI steps in business flows, approvals and human review, recovery and replay, cross-system destinations.
AI Engineering Delivery
AI-native software delivery — tech-profiled delivery paths, specialist execution roles, validation and release gates, production workload breadth.
Scale
Step 4
Measure outcomes, refine performance, expand adoption, and establish an enterprise A operating model.
AI Operations & Control Plane
Operate AI at scale with visibility and accountability — PromptOps, FinOps, observability, audit evidence.
Governance & Security
Enforce enterprise-wide controls as adoption expands — governed execution, credential governance, identity and RBAC at scale.
Download The Playbooks That Shape Our Client's Wins
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.
Marketing
Auto-generated Config
Point-and-click Outputs
No code required
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Guided walkthrough
Your stack. Your way. Zero friction.
Full programmatic control over every layer. Bring existing code, pick your language, extend with a rich component library, and wire up any system through our integration framework — all without leaving your flow.
Multi-language Support
Code Integration
200+ Connectors
Component Library
API Access
Custom Functions
GitHub-native
Govern the platform. Not just the apps.
Define access models, control which models run where, enforce routing and latency policies, and manage the full tech stack from a single control plane — before the first app ever goes live.
RBAC
SSO Configuration
Latency Routing
Tech Stack Controls
Model Governance
Tenant Policies
Audit Logging
Build automations in minutes.
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.
Start in seconds.
Pick what fires the workflow. A schedule, a webhook, an incoming email, an API event, or a database insert, Coverage AI connects to 200+ systems out of the box.
Connect in clicks.
Drop in logic, enrich with data, and call AI apps directly from your canvas. Conditional routing, knowledge base access, and cross-system actions, all wired together visually.
Ship it.
Send notifications, update records, create tickets, or pause for human approval. Version it, test with real payloads, and deploy with confidence.
Everything you need to build, deploy, and operate enterprise AI.
Coverage AI is structured around seven platform pillars — each designed to address a distinct layer of enterprise AI execution, from building applications to governing operations at scale.
Platform & What it coversFeatures
AI Application Builder
Create business-ready AI applications and experiences.
Features
Guided AI App Builder
Flexible Run Paths
Versioning & Publishing
Structured Inputs & Outputs
Agent Development & Orchestration
Build, connect, and operationalize specialized AI agents.
Features
Knowledge/Tool/Agent Grounding
Unified Agent Catalog
Shared Chat Plane
Submission & Review Lifecycle
Interoperability Paths
Workflow Automation
Turn AI into operational execution.
Features
Trigger-Driven Execution
AI Steps in Business Flows
Approvals & Human Review
Recovery & Replay
Cross-System Destinations
AI Engineering Delivery
AI-native software delivery and engineering workflows.
Features
Tech-Profiled Delivery Paths
Golden Image Baselines
Specialist Execution Roles
Validation & Release Gates
Production Workload Breadth
Enterprise Knowledge & Connectivity
Connect enterprise systems, data, and tools.
Features
Provider Catalog
Scoped Connections
Knowledge Hub
Knowledge Hub Protocol & Runtime Interoperability
Governance & Security
Enterprise control and safe deployment.
Features
Governed Execution
Credential Governance
Identity & RBAC
AI Operations & Control Plane
Operate AI at scale with visibility and accountability.
Features
PromptOps
FinOps
Observability
Audit Evidence
++
From first use case to enterprise operating model.
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.
Build AI Applications and Agents for Real Business Problems
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.
Guided AI App Builder
Step-by-step setup aligns intent, behavior, and expected outputs before a single user touches the app. Guided prompting, draft generation, and runtime config in one flow.
Structured Inputs & Outputs
Design forms, file inputs, output schemas, tables, and charts so apps behave like business tools — delivering outputs teams can actually use in a workflow.
Knowledge & Agent Grounding
Connect private knowledge bases, approved tools, and specialist agents so every response is grounded in real business context — not just model memory.
Flexible Run Paths
Run the same use case as an interactive assistant, a batch process, or a fully automated workflow — matching the AI experience to how work actually happens.
Versioning & Publishing
Draft, test, publish, archive, and roll forward use cases through a governed lifecycle — scaling from pilot experiments to an internal AI portfolio.
Deploy AI Across Teams, Workflows, and Business Functions
Moving from a successful pilot to organisational adoption requires more than publishing an agent. Coverage AI provides the deployment layer needed to introduce AI into operational environments while maintaining consistency, discoverability, and control.
Trigger-Driven Execution
Start workflows from schedules, webhooks, API events, system updates, or external signals — so AI responds when work actually happens, not after manual handoff.
AI Steps in Business Flows
Embed AI reasoning and generation directly inside existing business processes — approvals, routing, enrichment — without rebuilding the workflow from scratch.
Approvals & Human Review
Route outputs through human review gates before consequential actions are taken — keeping teams in control while AI handles the heavy lifting up to that point.
Recovery & Replay
Automatically retry failed steps, replay from checkpoints, and handle partial failures without losing work — so transient issues don't derail business-critical AI flows.
Cross-System Destinations
Start workflows from schedules, webhooks, API events, system updates, or external signals — so AI responds when work actually happens, not after manual handoff.
Turn AI Into Operational Throughput
AI creates value when it participates in business processes, not when it sits behind a chat interface. Coverage AI enables agents, workflows, systems, and people to work together through event-driven execution and intelligent automation.
PromptOps
Version, test, and optimise the prompts driving AI behaviour across every application — so teams can improve quality without touching code or redeploying.
Observability
Real-time visibility into every agent run, step, and output — with detailed traces, structured logs, and latency breakdowns so teams can diagnose issues before users notice.
Shared Chat Plane
A common interaction layer instead of managing a different interface for every agent — shared history, common context, and a unified UX that gives teams one consistent way to work with AI.
Knowledge Hub
Centrally manage, update, and version the knowledge powering every AI application — so when business context changes, all dependent apps stay accurate without manual rework.
Provider Catalog
Connect and switch between AI models, tools, and services without rebuilding applications — giving teams the flexibility to adapt to new models as the market evolves.
Build Trust Into Every Layer of Execution
As adoption grows, so do requirements around security, accountability, compliance, and operational oversight. Coverage AI embeds governance directly into how agents, workflows, data, and integrations operate.
Governed Execution
Every agent run sits behind authentication, role-based access, approvals, and runtime visibility — ensuring there is no AI execution without a clear owner and audit trail.
Credential Governance
Manage, rotate, and scope service credentials centrally — so AI applications access systems through governed, auditable connections rather than holding raw secrets in config.
Identity & RBAC
Tie every AI action to an identity with role-based permissions — controlling what each user, team, and agent can access, trigger, and modify across the entire platform.
Audit Evidence
Automatically capture structured evidence of every AI decision, action, and output — with timestamps and identities attached — ready for compliance review without manual effort.
Scale AI as a Business Capability
The challenge isn't deploying the first agent. The challenge is operating hundreds of AI-powered applications, workflows, and agents across the enterprise. Coverage AI provides the visibility, operational intelligence, and management controls required to scale confidently.
FinOps
Track and allocate AI spend by team, application, and use case — with cost breakdowns and consumption visibility so leadership can justify investment and optimise at scale.
Portfolio & Publishing
Manage a growing library of published AI applications through a governed lifecycle — promoting, archiving, and retiring as the business evolves and use cases mature.
Validation & Release Gates
Enforce testing, review, and sign-off before any AI change reaches production — so teams can iterate confidently without risking regressions in business-critical workflows.
Resilience & Replay
Enterprise-grade resilience for high-volume AI workloads — checkpoint and replay at scale, with automatic failure recovery so service continuity is never dependent on manual intervention.
We built what we couldn't find. Coverage.
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.
200+ integrations. Zero custom code.
Coverage AI connects to every system your teams already use — from CRMs and dev tools to HR platforms and data warehouses. Deploy agents with full context from day one, without rebuilding your stack.
Permissions-aware by design.
Every agent inherits the access controls of your connected systems. Users only receive answers from data they're authorised to see — respecting the permissions you've already defined, at the source. No new access policies to maintain.
Always-current. Never stale.
Coverage AI keeps connected knowledge in sync as your source systems change. Agents operate on live data — not cached snapshots — so answers reflect what's actually true in your business right now.
Read, write, and act — not just retrieve.
Connectors in Coverage AI aren't passive data feeds. Agents can write back to source systems, trigger downstream workflows, update records, and close business loops — turning retrieval into execution across your entire tech stack.
Every connection governed and audited.
Centrally manage, rotate, and scope the credentials powering every integration. Coverage AI enforces scoped access per connector so agents never hold raw secrets — and every connection is visible, accountable, and audit-ready.
Outcome Tracking
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.
Governed Connections Architecture
Provider identity, connection profiles, scoped reuse, runtime qualification, and execution surfaces stay explicit end to end.
Frequently Asked Questions
Coverage AI is an enterprise Agentic AI platform designed to help businesses build AI applications, deploy specialized AI agents, automate workflows, and govern AI execution from a single platform. It brings application building, agent orchestration, workflow automation, enterprise connectivity, security, governance, and AI operations together to help organizations move from AI experimentation to production.
The Coverage AI platform enables businesses to build and deploy production-ready AI applications, specialized AI agents, and automated workflows for real business processes. Teams can create structured AI applications, connect enterprise knowledge and tools, orchestrate agents, and deploy use cases as assistants, batch processes, or automated workflows.
Coverage AI enables teams to connect triggers, business logic, AI steps, approvals, and downstream actions in a single workflow. Workflows can start from schedules, webhooks, API events, emails, or database changes, while AI can enrich data, make decisions, update systems, create tickets, and trigger actions across connected applications.
Yes. Coverage AI connects with existing enterprise systems, data sources, and business tools through its integration framework and 200+ connectors. Agents and workflows can access approved knowledge, interact with connected systems, write back to source applications, trigger downstream workflows, and operate within existing permissions and access controls.
Coverage AI embeds governance and security across AI applications, agents, workflows, and integrations. The platform supports role-based access control, identity management, credential governance, governed execution, audit evidence, model governance, and operational visibility so enterprises can deploy and scale AI with greater control and accountability.
