Primorum

We'll find $100K+ in automatable operations — or tell you there's nothing worth doing.

Most businesses above $2M in revenue are carrying $100K–500K in operational overhead that AI can eliminate today. Not in five years. Not after a six-figure digital transformation. Right now. The bottleneck isn't the technology — it's knowing which processes to automate, which tools to use, and what it actually costs vs. what it actually returns. That's what we do.

What we believe

• System 2, not System 1

  Frontier labs build the fast, pattern-matching models. We build the deliberate verification layer that makes them dependable. The models do the thinking; we supply the judgment.

• Dependability is the scarce resource

  Raw model capability is commoditizing. The thing customers actually pay for — the thing that isn't commoditizing — is knowing the outcome will be delivered.

• You pay for outcomes, not tokens

  A model call costs a fraction of a cent. A guaranteed outcome is worth thousands. The premium is for the verification and the commitment to deliver — not the inference.

• We diagnose before we prescribe

  We don't sell AI. We find operational waste and then prescribe fixes. The audit comes first because prescribing without diagnosing is malpractice — in medicine and in business.

The audit: we find the number, or we say so

The free audit is not a discovery call dressed up as a deliverable. It's a concrete report that identifies every AI-automatable process in your operations, ranks them by revenue impact, and attaches real cost and return estimates.

If the total annual savings add up to less than $100K, we'll tell you that. You'll have lost 30 minutes. If they add up to more — and they usually do — you'll have a phased roadmap to capturing it, built by people who can build it for you.

Request your free audit → You'll hear back within one business day. No cost. No commitment.

Where the $100K usually hides

Across the audits we've scoped, the money clusters in a predictable set of operational layers. These are the places where manual work happens between systems, between people, and between departments.

• Customer operations

  Onboarding, support triage, follow-up sequences, churn detection. AI handles the first two tiers of customer interaction today — your team handles the exceptions, not the queue.

• Revenue workflows

  Lead qualification, proposal generation, pipeline management, renewal timing. AI compresses sales cycles without adding headcount. A CRM populated by machines, not by your reps on Friday afternoon.

• Back-office processes

  Invoice processing, expense categorization, compliance checks, report generation. AI eliminates the manual stitching between tools that eats 10–20 hours per person per week.

• Data & reporting

  Data extraction from documents, cross-system reconciliation, dashboard population, anomaly detection. AI turns scattered data into decisions without a human spending Monday morning in Excel.

• Communications

  Email drafting, meeting summaries, stakeholder updates, internal knowledge retrieval. AI keeps information moving without your best people becoming full-time information routers.

• Hiring & people ops

  Candidate screening, onboarding document generation, policy Q&A, training material adaptation. AI scales the people function so your HR team stops doing data entry and starts doing people work.

What you get

• 01

  A dollar figure.

  Total annual savings identified, broken down by process. Not a range. Not a projection. A specific number with the assumptions visible.

• 02

  Named tools and build estimates.

  For each process, we name the software — off-the-shelf, custom, or API-integrated — and what it costs to implement. No "AI platform" hand-waving.

• 03

  A phased roadmap.

  What to automate first, second, and third. Ordered by return on effort: highest savings, lowest implementation cost, least operational disruption. Start capturing savings in weeks, not quarters.

• 04

  The honest answer.

  If we can't find $100K, you get that answer in writing — with the analysis that backs it up — and you owe nothing. We'd rather build trust than book a dead engagement.

How it works

1. 1

   You reach out.

   Send a note describing your business. Size, industry, what feels operationally heavy. A paragraph is enough.

2. 2

   We talk (30 minutes).

   A focused call to map your operational landscape — your tools, your workflows, where the friction lives. We come prepared with industry-specific questions. You don't need to prep anything.

3. 3

   You get the audit.

   Within a week: the dollar figure, the named tools, the build estimates, the phased roadmap. You decide whether to commission us to build it, build it yourself, or do nothing. No pressure. No follow-up sequence. The report speaks for itself.

If the number is there, we can build it

When the audit finds $100K+ — and it usually does — we can deliver the automation as a fixed-price engagement with a written delivery standard. You pay when the outcome is delivered. You don't pay if it isn't. No billable hours. No change orders. No project that runs 3x over budget and delivers half the scope.

Primorum is an AI consultancy based in Toronto. We build the System 2 layer that makes AI dependable — verification, adversarial review, plan-before-execute, guaranteed delivery. The audit is how we prove we can do it before you spend anything.

Request your free audit → 30 minutes. Zero cost. One concrete report.