AI Consultancy & Capability Partner

Take AI from
possibility to
capability.

We help organizations turn AI ambition into measurable performance—across strategy, adoption, and scale.

Run the Opportunity Check See how we work

Certified. Canadian. Evidence-led.

  • Microsoft Certified · Azure AI
  • Client data in Canada by default

Illustrative — AI‑generated portrait

  • $2,000
    Fixed-price entry assessment
  • 2–6 wks
    Kickoff to handoff
  • 56→67
    Readiness in 90 days — worked example
  • Canada
    Default home for client data

The Opportunity Check · Free · Runs in your browser

Where could AI actually make a difference?

Eight questions, about two minutes. Same engine as the full Check — the $2,000 Assessment replaces rough math with real numbers.

  1. 01Assess
  2. 02Train
  3. 03Build
  4. 04Run

Assess.

“Here’s where it actually fits.” Every engagement starts with the same evidence-led read — the baseline every later step is measured against.

  • Readiness score on the five-pillar dial
  • Opportunity map with the hours quantified
  • 90-day plan with ROI you can defend

$2,000 fixed · 2–3 weeks · published pricing

AI Readiness AssessmentWorked example

01 The scorecard

Readiness is 56 / 100 — the equal-weighted mean of the five pillars below, and reported as exactly that. The gap is governance and tooling, not people: literacy already sits above the mean because staff didn’t wait for permission to start.

Readiness by pillar, each scored out of 100
PillarStatusScoreEvidence
Process clarity Strong 71 / 100 Dispatch runs on a documented playbook; billing partially mapped
Team literacy Ready to train 66 / 100 Informal ChatGPT use in customer email — capability waiting for structure
Data hygiene Watch 54 / 100 TMS records clean; billing lives in fragmented spreadsheets
Tooling coverage Gap 48 / 100 Consumer tools only; no business tier, no shared accounts policy
Governance & security Start here 42 / 100 No usage policy in force while customer data flows through public chatbots
Readiness today · equal-weighted
56 / 100
Day-90 target
68
Recoverable capacity identified
~11 hrs/wk

Worked example — Northshore Logistics is a fictional client · Zaiphr AI

The scorecard · worked example

Proof · Measured, not promised

Progression snapshotWorked example

01 Day 0 → Day 90

The score is not the point — the movement is. Ninety days after the assessment, Northshore operates AI under policy, with trained people and one system in production. The pilot’s ramp is named, not hidden.

Readiness · target was 68
56 → 67
Measured recovery · est. 11
9.5 hrs/wk
The three moves at day 90
2 done · 1 ramping
Readiness by pillar, day 0 and day 90, each out of 100
PillarDay 0Day 90Change
Team literacy6679+13
Governance & security4264+22
Tooling coverage4861+13
Process clarity7174+3
Data hygiene5457+3
Readiness (equal-weighted)5667+11

Day-90 re-check: same method and equal weighting as day 0 · Worked example — Northshore Logistics is a fictional client · Zaiphr AI

Readiness, day 0 to day 90 — re-scored on the same dial, estimates reconciled against what was measured.

11 hrs/wkidentified · day 0
9.5 hrs/wkmeasured · day 90 · pilot ramping

Worked example — Northshore Logistics is a fictional client · figures from the production report

A working session — one person explaining, two engaged, under a single warm lamp

Train · 02 of 4

Capability lives in people, not licenses.

Two sessions inside your actual workflows, then a measured checkpoint at week six. People leave differently capable than they arrived — and the difference is scored, not assumed.

2 of 13 → 13 of 13
Staff fluent in the safe-use rules · week 6
66 → 79
Team literacy, re-scored on the same dial

The Enablement Pack · worked example — measured, not assumed

Build · 03 of 4

We don’t just advise. We ship.

The plan becomes a working tool inside your stack — scoped in the process review, live in weeks, owned by you.

  • AI drafts — people decide
  • Your system of record stays the system of record
  • $8,000–25,000 typical · from the published ladder
The workflow before automation

Before — six staff re-keying every booking

The dispatch tool shown — Northshore Logistics · worked example

Run · 04 of 4

Operating.
Measured.
Governed.

Delivery isn’t the end — the system runs, the numbers stay honest, and movement keeps getting re-scored on the same dial.

  • Care from $500/mo — keep-it-running
  • Improve from $1,500/mo — ongoing iteration
  • Exceptions routed to a person, always

The standard it’s held to: AI that earns its keep

The client portal, live in production · Northshore worked example

Dispatch Intake5.5 hrs/wk · this weekLIVE
Invoice matching2.8 hrs/wk · rampingPILOT
Exceptions2 today · routed to a personHUMAN
The Zaiphr client portal — engagement view, worked example

Start here

What’s next for AI in your business?

Two minutes tells you where to start. If the honest answer is “don’t build anything yet” — the assessment will say so.

Run the Opportunity Check
Talk to Zaiphr Ask a question [email protected] · Moncton, NB · reply within 1 business day

Contact

Send us a message.

Not sure where to start? Tell us about your team, workflows, and goals — we'll reply with an honest read on fit and a recommended next step.

Email[email protected]
Phone(506) 899-0558
LocationMoncton, NB · serving Atlantic Canada
ResponseWithin 1 business day

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