Done-for-you implementation of DECKLOG — a private retrieval-augmented agent grounded in your SharePoint, Drive, ticketing and policy corpus. For internal teams who need answers without leaking documents to public AI.
Azure OpenAI / AWS Bedrock / self-hosted
pgvector / Qdrant / Pinecone
Source-system permission inheritance
6-10 weeks to production
If two of these sound familiar, this service is scoped for you. If none of them do, the discovery call is short and we will tell you which service actually fits.
Corporate knowledge scattered across SharePoint, Confluence, Notion, Slack and PDFs nobody opens.
Public LLMs hallucinate company facts and leak data outside the perimeter — Legal has banned ChatGPT and nothing has filled the gap.
New hires take 4-8 weeks to find anything; senior staff get interrupted constantly with policy questions the handbook already answers.
No hand-waving. If it is on this list, it is in scope from day one. If it is not, it lives in the out-of-scope section further down or is a separate engagement we will tell you about up front.
Three phases. Named owners per phase. Documented hand-offs. You always know which week of the engagement you are in.
Source-system inventory, ACL model design, model + embedding selection, vector-store decision, deployment-surface choice. Golden question set built with internal SMEs. Output: architecture-decision records.
Ingestion pipeline live, ACL-aware indexing operational, agent surface integrated (Teams / Slack / web UI). Evaluation pipeline catching regressions. First user cohort onboarded.
Every tier ships the same technical depth — the difference is whether we hand the keys back, keep them, or build you a sovereign exit kit. Final scope and fee are quoted after a short discovery call. No hourly billing.
Single-team DECKLOG pilot (HR or Legal or Ops) over a focused corpus of <10k documents.
We do not resell from a price-comparison engine. Every vendor in this service has a direct partner relationship with us — meaning support tickets escalate, license terms are honoured, and the margin stays inside the same vendor list price you would pay direct.
Honest exclusions are how we keep delivery fast. If something you need is in the out-of-scope column, we will tell you which service or partner picks it up.
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Only if you let them. Default deployment is in your tenant — Azure OpenAI, AWS Bedrock, or self-hosted on your infrastructure. No third-party data plane.
Implementation Service is bespoke — scoped to your specific corpus, ACL model and integrations. The DECKLOG SaaS product (in development) is the standardized self-serve version — same engine, common integrations, hosted by us. Self-serve for volume, bespoke for fit.
Every answer is grounded in retrieved citations with confidence scoring. Below the confidence threshold, the agent refuses rather than fabricates. The evaluation harness catches regression before users do.
30-minute discovery call. We tell you whether this service fits, what the scope looks like, and what the next 4 weeks would deliver. No high-pressure pitch.
Prefer a written scope before a call? Email us
Content-ingestion cadence, quarterly evaluation refresh, monthly quality dashboard, user-feedback loop into prompt tuning. We run the platform; your team owns the corpus.
Operational DECKLOG across multiple teams with ongoing corpus growth and quality monitoring.
Regulated entities needing audit-grade RAG with EU sovereignty, custom model hosting, and tabletop incident response.