AI consulting for operators

Put an agent on the problem.
Keep the accountability.

We design, deploy and operate AI agents inside your business — with the controls, audit trail and outcomes a board can sign. Not a chatbot. An operating layer.

Diagnose → Operate in weeks, not quartersHumans sign every external actionBuilt on a system we run daily
agent · finance-closeworking
> Close the month. Reconcile receivables, flag anything a controller should see.
  1. 01Pulled 412 invoices · matched 409 to bank feeddone
  2. 023 unmatched — 2 timing, 1 short-paid ($1,240)flagged
  3. 03Drafted 1 customer note for the short-paydraft
  4. 04Awaiting controller sign-off before anything is senthold
elapsed 00:41audit trail completesent externally 0
What we do

Four ways in. One operating layer out.

Every engagement ends with agents doing real work inside your business — measured against the P&L, not a demo.

Opportunity Diagnostic

Two weeks inside your operation. We map where agents pay off, rank each by value, risk and time-to-live, and hand you a business case your CFO will recognise.

Output · ranked backlog + business case

Agentic System Design & Build

The agents, the skills they run, the gates they can't skip. We build the first workflows into production — with the sign-off points and audit trail designed in, not bolted on.

Output · agents in production

Managed Agent Operations

We run, watch and improve the agents. Crash recovery, quality gates, model tiering, cost control. You get the outcomes and the record — we carry the pager.

Output · outcomes, monthly, with the receipts

Executive & Team Enablement

Working sessions, not slideware. Leadership learns what an agent team can carry; operators learn to run one. Your people leave with something working.

Output · a team that can operate agents
How we work

Diagnose. Design. Deploy. Operate.

The order is the method. Nothing is built before it's ranked; nothing runs before it has a gate.

01

Diagnose

Sit inside the workflow. Find where hours, errors and delays actually live — and which of them an agent can own end to end.

WEEKS 1–2
02

Design

Specify each agent: role, skills, inputs, the decisions it makes alone and the ones it hands to a person. Controls first.

WEEKS 3–4
03

Deploy

Build into the real system with real data. Golden tests gate every change near anything that matters. Humans sign off before it goes live.

WEEKS 5–8
04

Operate

Run it, measure it, tighten it. Monthly outcomes against the business case. Your team takes over when they're ready — or we keep running it.

ONGOING
Proof

We don't sell agents. We run on them.

AgentIQ was built by operators who run a live business on a team of AI agents every day — meetings, books, client deliverables, production. Every method we bring you has already survived contact with our own operations.

10
specialised agents, each with a defined role and a spec
31
reusable skills — playbooks an agent must follow, not improvise
4
frozen, golden-tested core processes no change can touch unverified
0
external emails sent without a human's approval
  • In the roomLive meeting intelligence — the agent listens, briefs and prompts while the meeting runs.Post-meeting report and formal minutes generated within minutes of the recording landing.
  • In the booksYear-end close prepared for an accountant who is, by his own description, an AI sceptic.Two-book discipline, every entry traceable to a source document.
  • In the fieldClient portals provisioned from a spreadsheet row, with a preflight gate that blocks a bad launch.Red stops the deploy. Yellow needs a named human's acknowledgement.
  • In productionVideo, decks and documents produced through a directed pipeline with a QC gate before anyone sees them.Creative direction and verdict stay human.
  • Under the hoodCrash recovery, progress logs, model tiering by task, and a pre-commit guard on the four untouchables.The boring engineering that makes agents trustworthy.
Where it pays

The work agents should already be doing.

Not the flashy ones — the ones with hours in them. Each of these has a measurable before and after.

Finance

Close, reconcile, flag

Match, reconcile and prepare the close; surface only the exceptions a controller needs to see. Days become hours.

Meetings

From recording to decisions

Live briefing in the meeting, minutes and action tracking after it. Nothing agreed gets lost between meetings.

Documents

Proposals, reports, packs

Drafted from your own patterns and data, formatted to your standard, reviewed by your people before they leave the building.

Communications

Drafted, approved, sent

Customer, client and owner correspondence prepared at volume — with a human's approval on every send, by design.

Operations

Watch, alert, act

Agents that monitor systems and workflows, act inside their authority, and escalate cleanly when they hit the edge of it.

Enablement

A team that runs agents

The capability stays with you: your operators direct the agents, your leadership reads the outcomes.

Principles

The rules that make agents safe to trust.

These aren't aspirations. They're enforced in how the agents are built — gates, not guidelines.

Agents draft. People sign.

Every external action — an email, a payment, a deploy — is presented for approval. The agent's job is to make the decision easy, not to make it.

Every action leaves a trail.

What was read, what was decided, what was sent. If it can't be audited, it doesn't run.

Nothing ships without a gate.

Golden tests around anything that matters; a fresh-eyes quality check before a deliverable reaches you. Speed comes from trust, and trust comes from gates.

Confidential means invisible.

Sensitive work is scoped so it never appears in a report, a metric or a summary it wasn't meant for. Not hidden — absent.

Start here

Bring us the problem that's eating your week.

A working session is ninety minutes with the people who own the workflow. You leave with a ranked view of where agents pay off — and a straight answer if they don't.

hello@agentiq-iq.com

What to bring to the first session

  • One workflow that costs you the most hours or the most errors
  • The person who actually runs it today
  • The number you'd use to know it worked
Ontario, Canada · working across North America · remote-first