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Solutions · Forward deployed team

We don't hand over software and walk away.

We set up the platform, train your teams and take the first use cases live with you. When you need it, our engineers work right alongside yours.

  1. 01Discovery

    Processes and data sources

  2. 02Connection

    ERP, CRM and document stores

  3. 03Use cases

    First assistants and workflows

  4. 04Go-live

    Groups, permissions and budgets

  5. 05Rollout

    Training and usage tracking

aitnus engineersYour teamtogether at every step

Companies that run their AI on aitnus

  • LC Waikiki
  • Yıldız Holding
  • Eren Perakende
  • ebebek
  • Loras Holding

The assistant is the part you see.

The real difference shows up once AI is connected to your documents, systems and processes. We build those connections with your teams.

  1. Assistant and chatThe visible part
  2. Enterprise data and system connectionsWhere the difference is
  3. Access, budget, audit, infrastructureThe base

What our team does

  • Connects your systems

    ERP, CRM, document stores and in-house apps.

  • Takes use cases live

    The first assistants, on your real data.

  • Sets up the rules

    Groups, permissions, budgets and logs.

  • Trains your teams

    Training and department sessions.

From live deployments

Adoption you can measure.

Cases are anonymized.

80%

of registered accounts active in the first month after go-live

100%

of shadow AI use eliminated

10,000+

enterprise users reached

Questions

Do your engineers work on site at every deployment?

When it's needed. If there are many systems to connect or processes to rebuild, our engineers work side by side with your team. We agree the scope together in the proposal.

Do you build custom software for us?

No. Every company runs the same platform, and new features reach everyone with each release. What's yours is the setup: the systems you connect, your assistants and your rules.

Which systems can you connect?

Any system that offers MCP or an API: ERP, CRM, document stores, Jira, Confluence, Slack. For your own models we also add vLLM, Ollama, LiteLLM, Microsoft Fabric and Azure endpoints.

What happens after go-live?

The work goes on. We run training and department sessions, track usage with you and open new use cases one at a time.

Rollout runs in five steps.

See the steps

See it first. Then decide.

  • Cost that falls with scale
  • Access for 10,000+ enterprise users
  • Reply in 1 business day
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