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AI-assisted software development for enterprise IT
Give the business a sanctioned path that is faster than the unsanctioned one — real internal apps, built with AI, governed by IT.
Ciao is an AI-assisted engineering platform enterprise IT teams use to deliver internal applications — approval workflows, employee portals, integration dashboards — without shadow AI. Unlike consumer AI app builders, Ciao puts every serious change through Guardrails policy review with human sign-off recorded, runs automated QA and security testing, and gives IT one fleet view in Conductor, with SSO, RBAC and an append-only audit trail.
Published 2026-07-03 · Last updated 2026-07-03
The backlog grows. Shadow AI grows faster.
Every enterprise IT team carries the same list: the approval workflow Finance requested two budget cycles ago, the employee portal still running on an intranet nobody maintains, the integration dashboard that is actually a spreadsheet with a macro. The list grows because the alternatives are slow — buying a SaaS product for each request means another vendor review and another renewal, and staffing an internal build means pulling engineers off funded projects.
Meanwhile the business stopped waiting. Employees paste data into consumer AI tools, run departmental apps on personal no-code accounts, and wire up automations that IT discovers only when they break — or when an auditor does. Shadow AI is not a discipline problem. It is what happens when the sanctioned path is slower than the unsanctioned one.
Ciao gives IT a sanctioned path that is actually fast. Plain-language requests become real React, TypeScript and Supabase applications; every serious change passes Guardrails policy review with human sign-off recorded; and the entire fleet stays visible in Conductor. The business gets speed. IT keeps control.
What enterprise IT teams build on Ciao
Approval workflows
Purchase requests, access requests, travel and policy exceptions as multi-step approvals with delegated authority, timers and a complete record of who approved what — the workflows currently living in email chains and ticket queues.
Employee portals
One front door for HR requests, IT tickets, onboarding tasks and company knowledge, connected to the systems of record through their APIs instead of trying to replace them.
Integration dashboards
Live views joining data from ServiceNow, Jira, HR and finance systems — the status picture the CIO currently receives as a slide assembled by hand every month.
Access request and review tools
Self-service access requests routed to system owners, plus quarterly access-review campaigns with evidence exports your auditors can take away.
Asset and licence tracking
Hardware assignments, software licence counts and renewal alerts — replacing the spreadsheet everyone edits and nobody trusts with an app that has roles and history.
Vendor onboarding
Security questionnaires, document collection, review status and renewal dates in one governed workflow instead of a shared mailbox with folders.
The departmental long tail
The lab booking tool, the facilities checklist, the fleet inspection form — small requests IT can finally say yes to instead of triaging them into a backlog they will never leave.
Why consumer AI builders re-create the problem you are solving
Unsanctioned app builders are how shadow IT happens. A platform IT can stand behind needs governance, identity and visibility built in — not bolted on per app.
- An approval story change management can adopt — Guardrails maps code into business areas, detects risky changes, applies plain-English policies and records human review — an approval chain that fits an existing change-management process instead of bypassing it.
- A fleet view instead of fifty browser tabs — Conductor gives one screen for hundreds of projects with live health, protected-zone visibility and fleet control, so IT sees the whole portfolio rather than discovering it during incidents.
- Security findings that are real — Ciao runs static scanning, dependency checks and access-control probes, and confirms vulnerabilities against the live app before flagging them — so your security team reviews confirmed issues, not noise.
- Identity done properly — Apps sit behind your SSO via SAML or OIDC, with optional MFA and role-based access control — not another password employees reuse from somewhere else.
Controls your security and compliance reviews will ask about
- ✓ SSO via SAML and OIDC, optional MFA, role-based access control
- ✓ Append-only audit trail across prompts, merges, deploys and admin actions
- ✓ Guardrails plain-English policies with human review recorded on every serious change
- ✓ SOC 2 Type II reports available under NDA
- ✓ Deployment to Ciao cloud, your own AWS, Azure or GCP account, private VPC, or on-prem under separate terms
- ✓ Customer code is not used to train models; inference runs under zero-retention model contracts
Built to sit inside your environment, not beside it
Internal tools are only useful when they talk to the systems that already run the company. Ciao-built apps integrate through the APIs your ITSM, HR and finance platforms already expose, so an approval workflow can open the ServiceNow ticket and a dashboard can read from Jira without anyone re-keying data.
For teams extending existing services rather than starting fresh, custom sandbox images wrap AI-assisted engineering around Rails, Java, Go, Python, Node and multi-process backends. And because deployment targets include your own AWS, Azure or GCP account or a private VPC, data residency decisions stay where your architecture review put them.
Under the platform, the answers your architecture board will ask for are consistent: Kubernetes with isolated pods per project, hibernation and wake for the long tail of departmental apps that see traffic twice a month, multi-region support, and a multi-provider model ladder with fallback — so the AI capability itself is not a single-vendor dependency you have to explain in the next risk review.
From intake ticket to governed app
Intake stays wherever it lives today — a service catalog item, a form, an email to IT. What changes is everything after the ticket: the request becomes a governed build instead of a backlog entry.
1. Describe
The requesting team writes what they need in plain language — IT does not have to translate it into a specification first.
2. Plan
Ciao produces a scoped plan IT can review for data access, integration points and policy fit before a line of code exists.
3. Build
The app is built in real React, TypeScript and Supabase code, in a workspace IT administers.
4. Test
QA runs deterministic browser replays and self-healing tests; a smoke gate blocks publish if core flows fail.
5. Govern
Guardrails applies your plain-English policies and records human review — evidence your change advisory board can consume as-is.
6. Deploy
Ship to Ciao cloud or your own cloud account, with SysOps handling rollback and drift detection.
7. Monitor
Doctor probes the live app, DNS and CDN; Conductor keeps the whole internal fleet on one screen.
Three ways to clear the backlog
Every backlog item eventually gets one of three answers. The columns below are the trade-offs as they play out in year three, not as they look in the demo.
| Buy another SaaS | Classic low-code | Ciao | |
|---|---|---|---|
| Time to a working version | Months of procurement first | Weeks, inside licensed seats | Days from the first prompt |
| Fit to the actual process | The vendor's workflow | Bounded by platform components | Built to your process in real code |
| Ownership | The vendor's code | Runs on the platform's runtime | Standard React and TypeScript you own |
| Governance | Another admin console to manage | Configured app by app | Guardrails policies and one audit trail across the fleet |
| Maintenance in year three | A renewal negotiation | Depends on who built it staying | Prompt the change; QA and Guardrails re-check it |
Making the sanctioned path official
Most IT organizations start with two or three backlog items that have clear owners and clear data boundaries, prove the governance model on those, then open intake more widely. Serious development programs start at USD 10,000 per year — a platform decision rather than a departmental experiment — so the practical next step is a conversation with sales about your backlog, your identity provider and where the apps should run.
Frequently asked questions
How does Ciao actually reduce shadow AI?
By removing the reason it exists. When the sanctioned path delivers a working app in days, with SSO and governance included, the business has no incentive to build in the shadows — and Conductor gives IT visibility over everything built on the platform, which spreadsheet-and-personal-account tooling never offers.
Does Ciao integrate with our identity provider?
Yes. SSO works via SAML and OIDC, so Okta, Entra ID and comparable providers connect through standard protocols, with optional MFA and role-based access control on top.
Can apps run in our own cloud environment?
Yes. Deployment targets include Ciao cloud, your own AWS, Azure or GCP account, a private VPC, and on-prem under separate terms — so data residency and network boundaries follow your architecture standards.
What exactly does the audit trail cover?
It is append-only and spans prompts, merges, deploys and admin actions, with Guardrails recording human review on serious changes. Auditors get a continuous record generated as work happens, not a reconstruction assembled afterwards.
How do we keep AI-generated changes away from sensitive systems?
Guardrails maps the codebase into business areas and lets you write plain-English policies — for example, that changes touching authentication or payroll integrations require named human review. Risky changes are detected and routed accordingly, and every decision lands in the audit trail.
Is our data used to train models?
No. Customer code is not used to train models, and inference runs under zero-retention model contracts.
Who maintains these applications in three years?
The code is standard React, TypeScript and Tailwind, exportable to your repositories at any time, so there is no proprietary runtime to escape from. Day to day, changes are prompted, re-tested by QA and re-checked by Guardrails — which means maintenance does not depend on the person who built the app still being in the building.