▸athos_
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problem·how we work·what we build·who·about·contact

▸athos_·Vancouver → BC → Canada / US

Athos

AI and ops systems on the plant floor

Working software on the systems manufacturers already run. No rip-and-replace. Start small, prove value, ship something that holds up mid-shift.

Book a short callHow engagement works

Short call → paid discovery → fixed pilot

▸problem

Modern machines. Paper ops.

Industrial ops still run on paper, tribal knowledge, and brittle glue between ERP / WMS / MES / email and the floor — even when the machines are modern.

  • 01

    Retype and chase

    People burn shifts on retype, spreadsheet glue, and hunting status across email and the floor.

  • 02

    Docs when the line stops

    When something breaks, tribal knowledge and binders beat the systems that were supposed to help.

  • 03

    Reconstruct after the fact

    Recalls, exceptions, and “where are we?” get pieced together from paper instead of a live picture.

▸how we work

Short call → discovery → fixed pilot

Not a platform sale. A clear commercial path to something that runs on your floor. Ballparks are honest ranges — fixed quote after discovery.

00 · start here

Short call

Hear the plant and the painful workflow. Decide together whether paid discovery is worth it. No deck theater.

  1. 01

    Paid floor discovery

    Days to ~2 weeks · often ~$5–10k

    Walk the flow. Map systems, paper, and tribal knowledge. Name one workflow, a success metric, and a fixed build quote.

  2. 02

    On-site pilot

    ~4–6 weeks · often ~$15–40k · one-time fee

    Ship one painful workflow. Working software mid-engagement. No obligation to expand after.

  3. 03

    Optional expand

    After proof · scoped retainers

    More role apps on the same data model. Light retain for connectors, model refresh, and new workflows.

Book a short call

CTA is discovery — not “buy a platform.”

▸what we build

Examples — mapped to your pain after discovery

We assemble commercial, enterprise, and open-source tools on your stack. Not a catalog wall. Not rip-and-replace by default.

Two arcs — in order

A1

Digital foundation

Paper → station capture → connect ERP / WMS / QMS / email → machines, sensors, cameras where it pays.

A2

AI on that foundation

Cited search → agents that draft or act with approval → scheduling / quality / shortage intelligence.

Never sell Arc 2 without a credible path through Arc 1 for that site.

Example builds

  • 01

    Station capture

    Kill paperwork retype at the point of work.

  • 02

    Live ops visibility

    Line, dock, cold room — a live picture of the work.

  • 03

    Plant search with citations

    SOPs, quality, ERP/WMS, docs — answers with sources.

  • 04

    Order & inventory exceptions

    Where’s my order? Where’s inventory? Queues that matter.

  • 05

    Scheduling & quality assist

    Constraint help and downtime intelligence — planner approves.

  • 06

    Traceability & edge CV

    Lot genealogy, inspection, labels, dock OCR — when it pays.

▸who it’s for

Mid-size physical ops with software glue problems

Plants where people, paper, and systems have to meet on the floor — not another SaaS seat tax for a team that already lives in Excel.

Fit

  • 01Manufacturing
  • 02Packaging
  • 03Logistics / 3PL
  • 04Food / cold chain
  • 05Wood / industrial

Primary geography: Vancouver / Lower Mainland → BC → similar plants in Canada and the US.

Soft exclude

Not a fit for:

  • —Pure tech startups
  • —Vanity AI demos
  • —Multi-year digital transformation theater
  • —Full ERP / WMS rip-and-replace as the default pitch

▸principles

Non-negotiables

How we show up on site. These are the habits we try to keep.

  1. 01

    Go on-site

    Start on the floor — with operators and ops leads, not a remote deck review.

  2. 02

    Start small

    Prove value on one painful workflow before anything bigger.

  3. 03

    Only win if they win

    Fixed-scope work that has to hold up mid-shift — not theater.

  4. 04

    Remove busywork, not people

    Humans stay in the loop for consequential actions.

  5. 05

    No rip-and-replace by default

    Assemble on the systems they already run.

  6. 06

    Ship where it’s used

    If it doesn’t work mid-shift, it doesn’t ship.

  7. 07

    Cite, then act

    AI with sources. Agents propose. People approve.

  8. 08

    Built for mid-size plants

    Legacy, family, industrial ops — not consultant dashboards.

▸about

Forward-deployed engineering

Athos is led by Graham Fleming — sits with operators and ops leads, hears the real work, and ships hard technical systems: AI implementations, infrastructure, and the glue that has to hold up mid-shift.

  • 01FounderGraham Fleming
  • 02LaneIndustrial AI / ops
  • 03ModeForward-deployed, on-site
  • 04BaseVancouver / Lower Mainland

Proof posture

Early-stage and honest about it. No fake case studies. Prefer paid discovery, fixed-scope pilots, and working software over decks.

▸contact

Short call → paid discovery

Tell us about the plant and the painful workflow. We’ll reply and book a short call.

00 · start here

Reach Graham

Direct line. No form maze. Use a subject that names the site or workflow if you can.

graham@grahamfleming.com
grahamfleming.com

▸ athos

AI & ops on the plant floor

athosinfra.com

© 2026 Athos

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