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AI & Implementation

Internal assistants trained on your company knowledge, owned by you.

Private chat assistants trained on your SOPs, contracts, policies, and operational documents. Your team gets answers in seconds instead of digging through folders, and your data never leaves infrastructure you control.

Engagement details

Quote
In writing
Duration
4 to 8 weeks
Access
Role-based, by team
Answers
Cited from your documents
Hosting
Your infrastructure
Ownership
100% yours, source in your repo
How this engagement runs

Three steps from first call to system you own.

  1. 01

    Scoping

    We pick where this moves a number.

    Working session, written read-out, 1 to 3 places this service actually moves the needle for your business.

  2. 02

    Build

    We ship on your infrastructure.

    Code lands on your server, wired into the tools your team already uses. You see progress every week.

  3. 03

    Tune

    90 days of weekly edits.

    Weekly tuning calls, accuracy reporting, and a single weekly number that says working or broken.

Inside the engagement

What you actually receive.

  • 01Knowledge

    Trained on your documents

    SOPs, contracts, policies, onboarding docs, internal wikis. The assistant answers from what your business actually knows.

  • 02Private

    Private by default

    Hosted on infrastructure you control. No public model training on your data. Audit logs on every query.

  • 03Access

    Role-based access

    Different teams see different documents. Sales sees pricing playbooks. Ops sees the operations runbook. Leadership sees both.

  • 04RAG

    Grounded answers, not hallucinations

    Retrieval-augmented generation means every answer cites the document and passage it came from. Compliance can verify any claim against the source.

Method

Predictable phases. Honest checkpoints.

  1. 01
    Phase 01

    Document audit

    We map what your team actually needs answers about. Not every doc gets indexed, just the ones that move the needle.

  2. 02
    Phase 02

    Build and train

    We build the assistant, ingest documents, set up role-based access, and run a closed pilot with one team.

  3. 03
    Phase 03

    Roll out

    Open access to the rest of the team with onboarding sessions, usage analytics, and a feedback channel.

  4. 04
    Phase 04

    Tune

    Monthly tuning. New documents added as they land. Answer quality reviewed and corrected on a feedback loop.

Next step

Ready to scope private ai assistants?

Thirty minutes on the phone, and you will leave with a clear answer on whether this fits. Not a soft proposal, a yes or no.