DevKiraAI built into
your team.
DevKira is the governed workspace where Business and IT build together with GenAI — one platform for LLMs, dev tools, compliance and cost control.
30 minutes tailored to your team, on the real product
Built for AI-driven organizations that refuse to trade governance for speed.
GenAI is in your team. The 6 problems nobody solved.
Unmonitored license costs
Licenses assigned across teams with no central tracking of cost or usage.
Fragmented Business ↔ IT tools
Business doesn't touch Git. IT doesn't live in Teams. Collaboration breaks.
Inconsistent outputs
Every team produces different decks, different code, different quality.
AI policies ignored
No guarantee your GenAI guidelines are actually respected day to day.
No data sovereignty
High-performing LLMs — but prompts and data leave your control.
Shadow AI everywhere
Teams adopt unsanctioned tools in the dark — no visibility, no audit, no control.
From a digital team to an AI-driven collaboration.
DevKira is a Business + IT workspace, AI-native by design, for both using and building GenAI tools.
Business–IT on one platform
One governed workspace where Business and IT actually build together.
Automatic governance
Rules always on, automatic auditing, every access tracked.
Every major LLM, one gateway
Claude, Codex and more through a single OpenAI-compatible endpoint.
Dev tools already integrated
n8n, Gitea, Jenkins, SonarQube, Yaade — one click, zero setup.
AI cost & license control
Per-user virtual keys, budgets and metering. No invoice surprises.
Governed egress, not blocked
Authenticated proxy + allow-list + self-service. Devs stay unblocked.
6 roles in the cross-functional team. One governed environment.
Int. IT Expert
Sets up and governs the platform: environments, tools, security, access.
Business Analyst
Structures requirements with AI, ready to hand off to development.
AI / Data Engineer
Builds and integrates AI solutions and data flows, from prototype to release.
Data Scientist / Prompt Eng.
Fine-tunes models and prompts, improving output quality and consistency.
Project Manager
Coordinates the team and centralizes artifacts and progress in one place.
Policy Consultant
Defines and checks AI usage rules for compliance and responsible use.
Business and IT teams work directly inside DevKira, using AI as a teammate
From requirement to code — with AI at every step.
- 1Business defines requirements
- 2IT analyzes with GenAI
- 3Functional & technical docs generated
- 4Business reviews & approves
- 5IT develops in-repo
From RFP received to proposal submitted — faster.
- 1Business uploads the RFP
- 2DevKira sets folders & contributors
- 3Business + IT work in parallel
- 4AI drafts and fills sections
- 5Integrated joint review
Today vs DevKira
- Fragmented tools
- Unknown AI spend
- Shadow GenAI usage
- Inconsistent output
- Data leaves your walls
- One governed workspace
- Per-user metering & budgets
- Enforced policies, auditable
- Consistent artifacts across teams
- Sovereignty by design
The AI fluency academy for companies that want outcomes, not slides.
Training programs designed with our engineers and delivered inside the product: people learn AI while working on real company processes, with governance and measurable progress.
- Live on-site or remote
- EN/IT content
- Labs inside the product
Questions and answers
The questions we hear most often from Business and IT leaders evaluating DevKira.
Where does our data live? Is it really sovereign?
Prompts, artifacts and metadata stay in the region you choose (EU or CH). DevKira brokers LLM calls through a governed gateway with no training on your data and full audit of every request.
How long does it take to get DevKira running?
A pilot squad is productive in under 2 weeks. Standard integrations (LLM providers, Git, n8n, Jenkins, SonarQube, SSO) are pre-wired — no long IT project required.
Do we need to replace our current tools?
No. DevKira sits alongside your stack. It governs LLM access, unifies Business and IT workflows, and integrates with the tools your teams already use.
How do you control AI costs?
Per-user virtual keys, budgets, quotas and real-time metering across every model. You see who spends what, on which use case, before the invoice arrives.
Is DevKira compliant with GDPR and the EU AI Act?
Yes. Role-based access, full auditability, DPA available, EU/CH hosting, policy enforcement on prompts and outputs. Built to support your compliance team, not fight it.
Can we self-host or use our own LLM keys?
Yes. Bring your own Azure OpenAI, Anthropic, Mistral or on-prem models. DevKira normalizes them behind one OpenAI-compatible endpoint with governance on top.
What does a demo actually look like?
30 minutes on the live product with a product engineer, walking through your use case: governance, budgets, LLM gateway and a real Business ↔ IT workflow. No slideware.
See DevKira in action, on your workflow.
30 minutes on your use case, running on the real product.
- Walk-through on your use case
- Live governance, budgets, LLM gateway
- Q&A with a product engineer