# Engineering leaders · Solutions > For heads of engineering and software leads who decide how AI is used across teams. Engineers keep working in their tools; rules, approvers and budgets are set once. Source: https://neuralinverse.com/solutions/engineering-leaders/ --- ![](/photos/team.jpg) [Solutions / Heads of engineering and software leads](https://neuralinverse.com/solutions/) # Let your teams work with agents, and keep a person on what matters. For heads of engineering and software leads who decide how AI is used across teams. Engineers keep working in their tools; rules, approvers and budgets are set once. For Heads of engineering and software leads Apps Editor, Agents and CLI Engines Claude Code, Codex or Neural Inverse's own Budgets Per team, project, person or key Approvals A named person, never the requester What you own ## What engineering leaders answer for. - **How work is delegated:** Which tasks agents take on, in which repositories, and which changes a person looks at before they land. - **Review that keeps up:** Agents produce changes faster than people read them. Reviewers need every diff, and to know which lines AI wrote. - **Spend across teams:** Model usage grows with every team that adopts it, and limits have to be set and held per team and project. - **Shared context:** Agents and new team members both need the team's code, decisions and conventions, without seeing what they should not. - **Release accountability:** For every change that ships: who proposed it, what checked it and who approved it. What Neural Inverse gives you ## One way of working in every tool your engineers use. Each row is a capability of Neural Inverse Build or Govern in use today. - **Parallel agent sessions:** Start several agent sessions, each with its own chat and changes, and read every file an agent changed as a diff before keeping it. - **Reviewed line by line:** Completions, chat and proposed edits shown as changes to review before they are accepted. Deterministic checks run on every change; only your organisation's signed rules can block. - **One policy for every engine:** Claude Code, Codex and Neural Inverse's own engine run in one agent host, and your organisation's rules apply to each and win over its own settings. - **Governed steps in CI:** The CLI runs non-interactively in scripts and CI with cost and time limits. Anything that would ask is denied, unless a signed approval of exactly that action is in the repository. - **Named approvers:** An ask can go to up to twenty named people or teams who decide in one inbox, once or for the rest of the session. - **Budgets and rate limits:** Spend or token budgets per team, project, person or key, by day or month. The worst case is reserved before a request is sent, so a hard limit holds. - **Team context:** Spaces of GitHub code and issues and shared team memory, served to the Editor, the Agents app and the CLI and checked for the person asking on every retrieval. How a change moves ## How an agent's change reaches main. 1. Propose An engineer or an agent proposes a change in the Editor, the Agents app or the CLI. 2. Decide Each tool call, command, file access and host is decided by your organisation's signed policy. 3. Verify Checks and your own tools run on the change. Only signed rules can block. 4. Approve Where policy says so, a named engineer approves. Under an approval rule, enrolled approvers sign with re-authentication. 5. Record Decisions, approvals and gate results go to the ledger. CI re-checks the exact commit. For your auditor ## What you can show an auditor, or a customer. Records come from the tools themselves, as the work happens. - **Which lines AI touched:** A signed evidence pack for a release, a change or a time range: which lines AI touched, which model and context were used, who approved and what left the boundary. Anyone can verify one offline. - **Approvals as signatures:** An approval is a signature record in the repository, with the signer's name, time, meaning and reason, verified by CI. - **Agent sessions:** A record of every engine's sessions and tool calls, and the approvals behind them. - **Spend by team:** Every model request with person, project, model, tokens and cost, and analytics per gateway key. Neural Inverse provides evidence toward the standards you report against. Certification stays with your organisation and assessor. Read next [Neural Inverse Build → The Editor, the Agents app and the CLI, governed by your organisation's signed policy.](https://neuralinverse.com/build/)[Agents → Delegate work to agents, run sessions in parallel and review their changes.](https://neuralinverse.com/build/agents/)[Context for agents → Approved knowledge, checked on every retrieval.](https://neuralinverse.com/govern/context/)[AI Gateway → Approved models, budgets and rate limits.](https://neuralinverse.com/govern/ai-gateway/) Industries[Automotive](https://neuralinverse.com/industries/automotive/)[Avionics](https://neuralinverse.com/industries/avionics/)[Semiconductors and FPGA](https://neuralinverse.com/industries/semiconductors/) Documentation[Agents app](https://neuralinverse.com/docs/agents-app/)[Policy, approvals and audit](https://neuralinverse.com/docs/build/governance/)[Budgets and rate limits](https://neuralinverse.com/docs/govern/budgets-rate-limits/)[Context](https://neuralinverse.com/docs/context/) What's next ## Still being built. Listed so you can plan around it. None of it is part of what works today. - **Domain modules:** The Editor's modules for firmware, FPGA, PLC, DCS, substation, mainframe and automotive work are pre-release, and nothing is verified by a customer yet. Embedded Linux is in early development. The verification state of each capability is published. ![](/photos/team.jpg) ## Talk to our team. Neural Inverse is available by request. We work with your engineering, security and procurement teams from the first conversation. [Request access](https://neuralinverse.com/contact/?topic=access)[Contact us](https://neuralinverse.com/contact/)