*For CTOs, CIOs and product engineering leaders* # Scale coding agents without multiplying tools and spend. > Wide Moat connects coding agents, cloud workspaces, repositories, tickets and CI/CD through one access, policy and cost layer. Existing developer tools keep working. ## Teams adopt coding tools quickly, but usage, subscriptions, model access and quality controls fragment. At the same time, internal application demand continues to outgrow engineering capacity. - **Tool and model sprawl** — Coding subscriptions and APIs grow without one view of cost, quality or policy. - **Delivery bottlenecks** — Testing, review, documentation and environment setup consume scarce engineering time. - **Long tail of internal demand** — Small but valuable apps stay in the backlog or become unmanaged workarounds. ## See the trigger, action, control and metric. ### Delivery workflow - **Trigger:** A scoped ticket is ready for implementation. - **Wide Moat:** Agents work across code, tests, documentation and review in approved environments. - **Human control:** Engineers own architecture, review and release approval. - **Measure:** Lead time from ready ticket to production. ### Engineering knowledge - **Trigger:** A developer investigates code, an incident or a prior decision. - **Wide Moat:** Wide Moat searches code, tickets, logs and documentation with source links and permissions. - **Human control:** The engineer verifies the conclusion before changing production. - **Measure:** Time to first useful answer or root cause. ### AI tool governance - **Trigger:** Teams use multiple assistants, subscriptions and APIs. - **Wide Moat:** The gateway applies model routing, budgets, policy and usage analytics. - **Human control:** Platform owners approve tools, models and exceptions. - **Measure:** AI cost per active developer and successful delivery workflow. ## Connect existing systems. Code repositories, issue trackers, CI/CD, cloud workspaces, observability, documentation and existing coding assistants. ## Add the shared layer. Coding assistants stay in the IDE. Wide Moat adds the shared gateway, company context, cloud workspaces, delivery agents and controls that individual assistants do not provide. ## Keep accountability. - Repository permissions are inherited - Production changes keep review gates - Model routing follows code and data policy ## Agree the KPI. - Delivery lead time - Review and test coverage - Time to incident diagnosis - AI cost per active developer ## One function. Three steps. 1. Select one team and repository. 2. Connect tickets, code and CI in a governed workspace. 3. Measure lead time, review quality, adoption and model cost before expansion. ## Clear answers before the demo. **Does this replace existing coding assistants?** No. Wide Moat can govern and complement them while adding shared context and end-to-end delivery agents. **Can code reach external models?** Model and data routing is policy-controlled; sensitive paths can be restricted to approved environments. **Who owns the platform?** Typically a small platform team owns the shared layer while product teams own their workflows and releases. ## Review the engineering workflow We will map the systems, human decision points, baseline and success metrics for the first workflow.