Division 02 / Artificial Intelligence & Intelligent SystemsGENERATIVE AI & KNOWLEDGE SYSTEMS / SERVICE OFFERING

Enterprise knowledge assistants

Connect approved repositories to a retrieval experience with citations, permissions and fallback.

Connect approved repositories to a retrieval experience with citations, permissions and fallback. This engagement addresses knowledge is distributed across sources with inconsistent search and access controls Scope centers on prototype or integration, source map, evaluation set and operating guide and defines systems, markets, review points and acceptance evidence before delivery begins.

ENGAGEMENT PATHDiscuss an enterprise engagement

Allwing will confirm scope, timing, responsibilities and fees in a written proposal before work begins.

Discuss an enterprise engagement
BUSINESS NEED

What this work addresses

Knowledge is distributed across sources with inconsistent search and access controls. The engagement clarifies the relevant current state before committing to implementation.

Business outcomes

  • Reduce friction and uncertainty where knowledge is distributed across sources with inconsistent search and access controls.
  • Give product, data and operations leaders evaluating applied ai a reviewable basis for the next decision through prototype or integration, source map, evaluation set and operating guide

Scope of work

  • Knowledge is distributed across sources with inconsistent search and access controls.
  • Connect approved repositories to a retrieval experience with citations, permissions and fallback.
  • Prototype or integration, source map, evaluation set and operating guide
  • Agreed review points, acceptance evidence and change control recorded in the engagement scope.

Deliverables

  • Prototype or integration, source map, evaluation set and operating guide.
  • A closeout record covering assumptions, owners, acceptance status and recommended next steps.

Who this serves

  • Product, data and operations leaders evaluating applied AI
  • Founders and startup teams

Client responsibilities

  • Name a decision-maker and a day-to-day contact for the engagement.
  • Provide accurate source material and authorized access required for the agreed scope.
  • Confirm client-owned decisions, approvals and feedback within the dates set in the project plan.
  • Confirm access, constraints and approvers relevant to enterprise knowledge assistants during discovery.
DELIVERY METHOD

Clear stages. Visible decisions.

Stages are tailored to the agreed scope. Reviews and acceptance criteria are recorded in the proposal and delivery plan.

  1. 01 / Frame

    Align on business context, decision owner, constraints, systems and success signals.

    Client inputs · Current workflows and relevant documentation · Named sponsor and decision makers

    Outputs · Engagement brief · Scope boundaries, assumptions and decision log

  2. 02 / Discover

    Research users, operations, market, data and technical conditions before prescribing a solution.

    Client inputs · Subject-matter access · Existing data and timely feedback

    Outputs · Current-state findings · Prioritized requirements, baseline and dependencies

  3. 03 / Design

    Translate findings into an approved service, product, campaign or operating design.

    Client inputs · Review participation · Named approvers

    Outputs · Concept or solution design · Implementation plan and acceptance criteria

  4. 04 / Deliver

    Build, produce, configure or launch in sequenced increments with review gates.

    Client inputs · Approved access and content · Client decisions and agreed tools

    Outputs · Reviewed work product · Quality checks, release notes and handover

  5. 05 / Improve

    Review adoption and agreed signals, then prioritize maintenance or the next iteration.

    Client inputs · Operational owner · Access to agreed performance data

    Outputs · Readout and recommendations · Knowledge transfer and optional follow-on plan