Enterprise Knowledge Management Transformation

reclaimed across departments

1000h+

of answers traceable to source documents

100%

faster access to documents

x5

Client:

A leading retail company

Industry:

Retail

Scale:

10000+employees, hundreds locations, multi-department operations

Challenge:

A client lacked a reliable enterprise knowledge system — documents were unowned, ungoverned, and hard to access. As part of a broader AI transformation strategy, the knowledge function was identified as an early opportunity: get the right information to the right people faster, and turn operational knowledge into a genuine competitive advantage

A leading retail company operating in competitive markets where data-driven decisions directly impact market strategy, product positioning, and revenue growth.

HOW IT STARTED

The Strategic Request

The company's leadership came to us with a broad brief — build an AI transformation strategy and identify where AI could become competitive advantage. The operational knowledge function surfaced early in the audit as a quiet structural exposure: hours lost to searches, 1,000+ documents with no single owner, station-level staff deciding on whatever copy was easiest to find. Once named as a transformation target, the question stopped being whether to act and became how to redesign the function. The engagement was framed as functional transformation, not search deployment.

THE PARTNERSHIP APPROACH

Deep Dive into Operations

We didn't run this as a vendor engagement. We worked side by side with the client's teams for weeks — co-interviewing employees, shadowing workflows in head office, and travelling to //stations to watch how staff actually access information under operational pressure.

Joint Operating Model

Client

Domain intelligence
Operational process ownership
Regulatory and commercial expertise

AI transformation strategy & roadmap
Enterprise AI architecture design
Implementation governance & scaling

Ground-level discovery

That on-the-ground perspective was structurally important. Most knowledge transformations are designed from conference rooms by people who imagine how end users work.

‍

We sat with the people who actually run the function — operational staff under time pressure, regulatory affairs explaining why some documents had competing versions, head-office owners who held individual pieces of the content estate but had no view of the whole.

‍

Built together

The close collaboration did two things.

1. It gave us the operational truth — not the version of the function described in policy documents, but the version that actually runs.

2. It gave the client's teams co-authorship of the transformation: the new operating model wasn't presented to them as an outside design, they had helped build it. This is the precondition for adoption that actually holds, and the reason the client retained internal capability to keep extending the work after the engagement closed.

AI Capability

Knowledge Intelligence System

An enterprise-grade, governed retrieval layer designed for a distributed workforce operating under regulatory and time pressure.

‍

AI Capability Layer

Multi-source content unification. Consolidating 1,000+ documents across SharePoint, file servers, departmental drives and supervisor inboxes into a single governed surface, with version control and authority status preserved at the document level

Multimodal document understanding. Interpreting scanned PDFs, handwritten amendments, regulatory forms and procedural diagrams with the precision a regulated environment requires
Natural language and voice query handling, optimised for short, urgent, mobile or hands-occupied use — returning precise answers in seconds with source documents and currency status attached
End-to-end traceability, where every retrieved answer carries provenance, version and access logs sufficient for supervisor audit and regulatory inspection

THE RESULTS

‍

Operational Impact

faster access to operational procedures at the front line

x5

hours
recovered
monthly

1000+

sites operating on a single governed knowledge surfac

400+

Knowledge Function Performance

typical
retrieval time

<10 sec

of answers traceable to source documents

100%

Financial & Organizational Impact

Reduced headcount dependency
Increased decision velocity
Significant ROI through operational leverage

WHY IT WORKED

Why This Partnership Succeeded

‍

Governed Foundation, Then Retrieval

Most knowledge projects start with the technology layer. We started with content governance — defining ownership, retiring obsolete versions, building the tiered authority model. The retrieval layer was then designed on top of a governed estate, not used to paper over an ungoverned one. This sequencing was the single biggest predictor of durability.

Designed for the Hardest User First

Operational staff working under time pressure on shared devices were the design centre — not the office user with a desktop and time to read. Designing for the hardest population first meant office use cases came along naturally, the inverse approach would have failed at the front line.

Co-Authored With the People Who Own the Function

Regulatory affairs, operations leadership and front-line supervisors weren't presented with a finished design. They helped build the operating model — defining what authoritative means, who owns what, how exceptions escalate. Co-authorship is the precondition for adoption that actually holds.

‍

Capability Transfer as the Deliverable

The engagement closed with an internal team (operations and IT together) equipped to evolve the function as procedures change. The client retained not a search tool but the capability to operate a governed operational knowledge function as a permanent organisational capability.

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