Atlas — your company’s memory.

An enterprise brain: an intelligence layer that unifies your documents, systems and conversations, so AI agents can work with your full context — under your supervision.

§ 01 / Premise

A simple AI assistant answers. With Atlas, it remembers every little detail specific to your business.

Your organization knows things nobody ever wrote down in one place: a client’s history, the exception agreed to two years ago, the supplier who always ships late. Atlas gathers that memory, reasons with it, then acts inside your tools — and every move stays traceable and approvable.

  • 01 — Contextual memory

    What the company knows, retained.

    Knowledge graphs and semantic memory retain institutional knowledge — bid history, customer exceptions, supplier delays — and recall it at the right moment.

  • 02 — Reasoning & action

    Decisions, then action.

    Atlas weighs the variables — a deal’s stage, an inventory level — then acts through your systems: updating the CRM, routing an approval, drafting a reply.

  • 03 — Governance

    Humans keep the hand.

    Role-based access, a complete audit trail, and human approval on consequential actions. You can trust what runs, because you can see everything that runs.

§ 02 / The map

Your systems, joined by a thread.

Atlas plugs into the tools you already use — Microsoft 365, your ERP, your CRM and the rest — and joins them into a single memory. Nothing to replace. Follow the thread.

Systems mapThe thread — Atlas
Your tools in placeOne shared memory

Fig. 01 — Atlas connects the systems you have, without replacing them

§ 03 / Architecture

Four layers, one brain.

From data to action: each layer builds on the one beneath it, and the whole remains inspectable.

  1. C1

    Data foundation

    Atlas integrates with your systems of record — ERP, CRM, SharePoint, Outlook, Teams — and maps their events. The foundation is what you already have.

    ERP · CRM · Microsoft Graph · Email
  2. C2

    Knowledge & memory

    Vector stores and knowledge graphs capture organizational memory: what was decided, for whom, in what context.

    Vector stores · Knowledge graphs
  3. C3

    Reasoning engine

    Multiple large language models, backed by GraphRAG, reason over that memory and return decisions with a confidence score attached.

    Multiple LLMs · GraphRAG · Confidence scores
  4. C4

    Orchestration

    Specialist agents coordinate to finish work end to end — processing a technical incident, routing a pricing exception — with a human in the loop.

    Specialist agents · MCP · Human in the loop
§ 04 / In the field

Concrete, sector by sector.

Five typical scenarios, in the tools your teams already use. The numbers are illustrative — yours get measured on your data.

  • Mining

    Maintenance that sees delays coming.

    A supplier delay notice lands in Outlook. Atlas cross-references it with your ERP’s maintenance history — third delay from the same supplier this year — reschedules the maintenance shutdown, drafts the crew note in Teams and routes the approval through Power Automate. The Power BI board updates itself.

    −0 %unplanned downtimeTypical scenario
  • Drilling

    Bids that remember the ground.

    Your survey reports sleep in SharePoint and Excel. Atlas recalls the actual conditions of a sector drilled in 2021 — costs, rock, timelines — then assembles the bid in Word, with client history pulled from your CRM.

    0 daysfor a complete bid, instead of a weekTypical scenario
  • Logistics

    Customer exceptions, remembered for good.

    “This customer doesn’t receive after 4 p.m.” Noted once, remembered forever. Atlas reroutes the delivery with Geotab and Google Maps, updates your ERP and drafts the reply in Outlook — you approve before it sends.

    0 minto handle an exception, instead of 4 hoursTypical scenario
  • Construction

    RFIs connected to their history.

    An RFI comes in through Procore. Atlas links it to the drawing in SharePoint and to the 2019 change order on the same detail, then routes it to the right project manager in Teams — context already assembled.

    −0 %RFI turnaround timeTypical scenario
  • Industrial

    Purchases proposed, never imposed.

    Atlas watches your ERP’s inventory and supplier lead times, then proposes purchase orders with a confidence score. Approval takes one gesture, in Teams or Slack.

    −0 %stockoutsTypical scenario
§ 05 / The measure

What it returns.

Orders of magnitude observed on typical deployments. Your own numbers get measured on your data, within the first weeks.

  • § 01 / 04−0 %

    time spent searching for information

  • § 02 / 040 min

    to answer an exception — instead of 4 hours

  • § 03 / 04×0

    bid preparation speed

  • § 04 / 040 %

    of actions logged and traceable

Hours recovered per person, per week

1 h4 h6 h9 h11 hM1M2M3M4M5M6

Typical scenario — illustrative figures, to be validated on your data

§ 06 / Governance

Autonomous, never out of sight.

Trust isn’t declared — it’s tooled. Three guardrails frame everything Atlas does.

  • 01

    Role-based access

    Each agent sees what its role allows — no more. Permissions follow the ones already set in your systems.

  • 02

    Complete audit trail

    Every read, every decision, every action is logged. You can replay the reasoning behind any move.

  • 03

    Human approval

    Consequential actions — a send, a purchase order, a change order — wait for your signature. Atlas prepares; you decide.

Audit trail — excerpt
  • 09:41 · read · supplier history — ERP
  • 09:41 · decision · reschedule proposed (confidence 0.92)
  • 10:07 · draft · crew note — Teams
  • 10:12 · approved · j.tremblay
  • 10:12 · executed · approval routed — Power Automate