Knowledge AI Consulting · Enterprise

AI-Powered Enterprise Search Consulting

Replace “ten blue links” over company data with answers that cite sources, respect permissions, and refuse when search retrieves nothing.

Service
Knowledge AI
Industry
Enterprise
Updated
2026-08-25
Engagement
4 wks
The short answer

AI-powered enterprise search consulting turns company keyword search into cited question answering using hybrid retrieval (BM25 plus embeddings), per-user ACL at query time, required citations, refuse-when-empty, and golden sets plus CI evals — a 4-week standard implementation in the client cloud, with client-owned IP and no shared training.

The premise

AI enterprise search is hybrid retrieval plus an answer contract, not a chatbot parked next to the search box.

Engagement
4 wks
standard search-to-QA handover
Hybrid
BM25 plus embeddings, then an answer
ACL
per-user filters at query time
The path
01Discover
02Design
03Build
04Validate
05Enable

Why teams pick this engagement

Knowledge AI × Enterprise

Same permissions as search

If a user cannot see a document in the current search index, the answer path cannot quote it either.

Search-log golden sets

We evaluate on queries people already type, including the identifiers keyword search was built for.

Links still exist

Q&A sits on hybrid retrieval. Users can still open ranked sources. An answer without a citation is a defect.

Pilot group, then tenant

Shadow-mode for a named cohort in week 3. Tenant-wide cutover only after CI evals and ACL tests pass.

Four-week implementation

Discovery of query logs and identity, environments in your cloud, shadow-mode, handover, 30 days on-call.

Refuse on empty retrieval

If hybrid search returns nothing the user may see, the system says it does not know. It does not invent a page.

Key takeaways

  • 01

    AI enterprise search is hybrid retrieval plus an answer contract, not a chatbot parked next to the search box.

  • 02

    Keep ranked links. Answers must cite. Empty retrieval refuses. That is how you replace keyword search without losing auditability.

  • 03

    Per-user ACL at query time must match what the current search index already enforces, or the new UI becomes a leak.

  • 04

    Golden sets come from search logs, including zero-result queries. CI evals gate hit@k, faithfulness, and citations.

  • 05

    Four-week standard build in your cloud. You own the IP. You pay inference. Thirty days on-call after handover.

What the engagement covers

01

Query-Log Diagnosis

Sample existing search logs for identifiers, natural-language questions, and zero-result queries. That sample becomes the golden set and the case for Q&A vs ranked links.

02

Hybrid Retrieval Upgrade

BM25 plus embeddings over the corpus you already search, in the client cloud, with the same ACL metadata the current index uses.

03

Answer Layer

Generate only from ACL-filtered hits, require citations, refuse when retrieval is empty, and keep the link list available.

04

Search CI

Hit@k, faithfulness, citation coverage, and ACL leak tests in CI. A model or index change that tanks identifier search does not ship.

05

Cutover and Enablement

Pilot cohort, then tenant. Client owns IP. Model-agnostic. You pay inference. Thirty days on-call. Fixed-scope plus platform fee.

How we work

  1. 01

    Discover

    Week 1: query logs, current engine, identity, zero-result analysis, written scope.

  2. 02

    Design

    Hybrid retrieval, ACL parity with existing search, answer vs links UX, eval strata.

  3. 03

    Build

    Week 2: retrieval and answer path in your cloud; traces; you pay inference.

  4. 04

    Validate

    Week 3: shadow-mode on a cohort; CI evals; ACL parity tests vs current search.

  5. 05

    Enable

    Week 4: cutover, runbooks, IP handover, 30 days on-call.

Take the playbook with you

The working documents from real engagements — free, in exchange for an email. They’re useful whether or not we ever talk.

Flagship resource · PDF · 7 pages

AI Enterprise Search Cutover Checklist

19 checks covering query-log golden sets, hybrid retrieval, ACL parity, citations, refuse-when-empty, and when to keep the link list visible.

Get the checklist ·
PDF · 6 pages

Enterprise Search Query-Log Sampling Guide

How to pull a representative golden set from existing search logs: identifiers, natural questions, and zero-result queries.

Get the guide ·
XLSX scorecard

Keyword Search vs AI Q&A Scorecard

Where ranked links stay, where an answer is allowed, and the evals that must pass before you hide the link list.

Get the scorecard ·

Frequently asked questions

what is ai enterprise search consulting

It is the work of putting cited question answering on top of company data using hybrid retrieval, query-time ACL, and evals — so people can ask in natural language instead of guessing keywords. Ranked links stay until evals say an answer is safe. We implement in the client cloud in four weeks standard. You own the IP. You pay inference. There is no shared training.

can we replace keyword search with chatgpt over our files

Not as a dump-the-drive chatbot. Production replacement is hybrid search (BM25 plus embeddings) with per-user ACL at query time, required citations, and refuse-when-empty. A chat window that ignores the search index will miss identifiers and leak files. We treat the current search engine as the permission and recall baseline to beat, not as something to switch off in week one.

will people still get links

Yes. An answer without a source is a defect. The UI can lead with a cited paragraph and still show ranked documents. Some queries should stay link-only — especially when retrieval is weak. We decide that per query class using the golden set, not with a global “always answer” flag.

how do permissions work in ai search

Per-user ACL at query time, matching the current search index. If today’s search cannot return a file to that user, the generator cannot see it. We test parity with restricted accounts in week 3. Broken inheritance, guest accounts, and nested groups are discovery items, not afterthoughts.

how long to replace enterprise search

A standard cited-Q&A layer is four weeks for a scoped corpus and identity mapping. Tenant-wide replacement of a mature search stack may need more than one four-week slice; we say so in discovery rather than promising a rip-and-replace. Financial services typically 8–12 weeks. Healthcare typically 10–14. Thirty days on-call after each handover.

what about zero-result queries

They stay zero unless a new source is in scope. Refuse-when-empty is the correct behavior. Generating a plausible answer on a zero-result query is how “AI search” loses trust in week two. We include zero-result examples in the golden set so CI fails if someone removes the refusal path.

do you rip out our existing search product

Only if it cannot support hybrid retrieval and query-time ACL in your cloud. If it can, we add the answer layer and evals on top. This is implementation consulting, not a mandatory vendor swap. Model-agnostic generators; client pays inference.

what do we own

You own the IP: query classifiers, fusion config, prompts, evals, traces, runbooks, running in the client cloud. Fixed-scope implementation fee plus platform fee. No shared training. Thirty days on-call included. Further corpus expansion is a new fixed scope.

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