ResonAi · Enterprise & Public Sector

Enterprise AI,
under your control.

Most enterprise AI stalls between pilot and production. Security reviews, data rules and unclear ownership stop it. We build the control layer first: a gateway, a company brain, guardrails and governance. Then we put agents to work on top of it.

Start with your role ↓ Capability brief (PDF)
4ways to deploy: shared cloud, dedicated, inside your tenant, on-premise
0prompt or reply text kept in the gateway log. Tested.
1gateway in front of every model, with a key and budget per team
Reference architectureLive view
GOVERNANCE · AUDIT LOG Your teams PMO · finance · ops · HR Your systems ERP · email · SharePoint · web GUARDRAILS untrusted input isolated · tools allowlisted · humans approve Company Brain cited answers permission walls RESONAI GATEWAY key per team · residency lock · budgets · cost per workflow Claude OpenAI Gemini Open-weight models swap without code DEPLOY: SHARED CLOUD · DEDICATED · YOUR TENANT · ON-PREM INJECTION BLOCKED
01 Start here

Start with your role.

Pick the seat you sit in. You'll see the questions you get asked most, and where on this page each answer is.

02 The platform

Seven layers. We build them bottom-up.

Most firms start at the top with a chatbot and bolt security on later. We start with where things run, who controls them, and what they can touch. Click a layer.

03 Security & threat defense

Built for bad actors, not just good users.

An agent that reads email, documents and web pages will read an attack sooner or later. So we design every agent on the assumption that some of what it reads is hostile.

Prompt injection

Hidden instructions inside an email, file or web page try to take over the agent.

Our controlContent the agent reads is treated as data, never as orders. Instructions found inside it are quarantined and flagged.

Data leakage

Confidential data slips into a prompt, a log, a reply or a third-party tool.

Our controlPermission walls on the server, no prompt text in logs, and agents that can't send anything outside without a person.

Bad actors & abuse

Someone forges a role, floods the system, or runs up a bill with stolen access.

Our controlRoles checked on the server, not the browser. Rate limits, hard budgets per key, and signed webhooks.

Supply chain & model risk

A compromised package, a silent model change, or a vendor outage.

Our controlPinned versions, advisories checked before upgrades, fallback models, and quality tests before any model swap.
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A simulation of the defense pattern we build into agents. Real systems layer several controls, because no single filter is enough.

Agent traceGUARDED
Press "Run it" to watch the agent process this email.
Least-privilege tool accessUntrusted content isolatedAction allowlists per agentAgents draft, people sendRoles enforced on the serverNo prompt text in logsRate limits and hard budgetsSigned webhooksGuarded web fetchingQuotes checked word for wordAttack tests after every change

We test our own systems the way an attacker would. Our knowledge system has a test where a user forges a higher role to read restricted material. It runs after every backend change, and the server refuses the request.

04 The ResonAi Gateway

One door for every model.

Your apps never call an AI vendor directly. They call the gateway. The gateway decides who may use which model, keeps the bill per team, and writes the audit trail.

01

A key per team or app

The key decides which models that team can reach. Revoke one key without touching anyone else.

02

Residency lock

A Canada-only key can't reach a model hosted outside Canada. The call is refused before it leaves. We tested this.

03

Hard budgets

Each key has a spending limit. At the limit, calls stop. No surprise invoice.

04

Audit without content

Every call is logged: who, which model, tokens, cost. The prompt and the reply are not stored. We checked the logs to prove it.

05

Tiers, not vendors

Apps ask for "fast", "standard" or "deep". We change the model behind a tier without changing the apps, and only after it passes a quality test on that task.

gateway console · simulation
1 · Calling as
2 · Requesting model
Pick a key and a model, then send.
Audit log
TimeKeyModelResultTokensCostContent
5 agentsin one estimating workflow, each tagged in the log
31,817tokens for one full run, measured
CA$0.21model cost per estimate. You see cost per workflow.
Open the full gateway demo: tiers, fallbacks, cost per workflow →
The plain truth on data residency. Storing your data in Canada is easy. Running the model inside Canada limits your choice of model today: Canada-only processing currently means specific OpenAI models in Azure's Canada East region. Claude can keep your data stored in Canada, but its processing runs outside Canada. We tell you which of your workflows need the hard lock, and which don't.
05 The Company Brain

A company brain that knows who's asking.

Your documents, project history and lessons learned, turned into one system people can question. It answers with sources, and it respects the same access rules your files do.

01

Answers with sources

Every answer cites the document it came from. Click through to the source. No source, no claim.

02

Permission walls on the server

Access is checked on the server for every question. A clever prompt can't climb over the wall.

03

Facts, how-to, and judgment

We tag knowledge by depth: the facts, how things are done, and the judgment learned on past projects. The judgment is the part most firms lose.

04

Lessons that resurface

Closure reports and lessons learned come back at the moment a similar decision is made, not once a year in a binder.

05

Runs through the gateway

Same keys, budgets and residency rules as everything else.

Ask as
Why do our system cutovers keep running late?

Illustration with sample documents. Same question, three people, three different views of the evidence.

06 Deployment & tenancy

Your data, your choice of where it lives.

Four ways to run it. Pick your hardest constraint and we'll show you where to start.

Every optionCommercial model terms. Under these, the model providers don't train on your data.
Every optionRetention is agreed in writing before work starts, including what ResonAi holds.
Every optionSame gateway controls: keys, residency lock, budgets, audit log.
07 Governance & Trustworthy AI

Run AI like a portfolio, not a science fair.

Your EPMO already knows how to govern investment. AI should go through the same front door: intake, scoring, gates and benefits tracking. We set it up so AI ideas compete on value, and risky ones meet a gate early.

01

Intake

One front door for AI ideas, shadow tools included.

02

Score

Value, risk, data sensitivity and effort, on one scale.

03

Gate

Security and privacy checks before build, not after launch.

04

Build

Behind the gateway, with guardrails and a named owner.

05

Measure

Hours saved and errors avoided, against a baseline.

06

Review

A one-page view for the CIO. Keep, fix or retire.

AI Security Audit

Every AI tool in use, including shadow AI. What data each one touches, where the gaps are, and a ranked fix list with owners.

AI Governance Policy

Acceptable use by role, data handling rules, where a human must approve, who owns what, and a review calendar.

Agent Security Architecture

Least-privilege access, injection defenses, data boundaries, human override and monitoring, signed off before go-live.

Trust posture check →

Six questions, ninety seconds. See how your current AI use stands on the six pillars of trustworthy AI.

Our method aligns with the NIST AI Risk Management Framework and is CPMAI®-aligned. Engineering guidance, not legal advice.

08 How an engagement runs

Assess. Pilot. Scale. Run.

Each step ends with something you can show your steering committee. You decide at every gate whether to go on.

STEP 01

Assess

Find out where AI is already in use, where the risk is, and where the value is.

  • AI inventory, shadow tools included
  • Risk and data map
  • Ranked workflows with value at stake
  • Written residency and security position
STEP 02

Pilot

One governed workflow in production. Real users, real data, measured.

  • Gateway and guardrails in place
  • Named owner and human checkpoints
  • Before-and-after measures
  • Go or no-go evidence for the gate
STEP 03

Scale

Reuse the same controls across more teams. Add the company brain.

  • Agent portfolio through your EPMO
  • Company brain with permission walls
  • Standard patterns, not one-offs
  • Team training by level
STEP 04

Run

We stay on as your AI operations partner, on retainer.

  • Monitoring and cost reviews
  • Model changes, tested first
  • New workflows from the intake queue
  • Quarterly review with leadership
09 People & funded training

Train your people. Let the grant carry most of it.

Tools only pay off when people use them well. We train each group on the agents and controls you put in place, from the leadership table to the delivery teams. In B.C., the Employer Training Grant can cover most of the cost.

Leadership

AI Leadership Briefing

A 90-minute briefing for the C-suite, VPs and directors: where AI creates value, and where it stalls.

Program details →
EPMO & delivery

AI Project Management

How to phase, gate and run AI projects. A CPMAI®-aligned specialist track for the people who deliver them.

Program details →
Every team

AI 101 and AI Essentials

Hands-on skills for daily work, with real guardrails. No technical background needed.

Program details →
The whole path

Five levels, one plan

A level-finder places each person, so you train to the gap instead of sending everyone to the same course.

See the training path →
80%of eligible training costs, reimbursed by the Province
CA$10,000per participant, per fiscal year
CA$300,000per employer, per fiscal year. That covers 80% of about CA$375,000 of training.

Can apply

  • Businesses of every size, including large employers
  • Non-profit organizations
  • Municipalities and regional districts
  • Indigenous governments
  • Unions, for the workers they represent

Cannot apply

  • Provincial government employers
  • Crown corporations and agencies
  • Hospitals and health authorities
  • Public post-secondary institutions
  • Federal and territorial governments
Price it with the grant → See the training path

Source: B.C. Employer Training Grant eligibility criteria, effective March 23, 2026. The grant is run by WorkBC and the Province of British Columbia. The Province decides eligibility and approval, not ResonAi. ResonAi is not a grant advisor. Third parties cannot apply for you. Confirm current terms at workbc.ca.

10 Proof

Built by someone who has run the portfolio.

Ryan Rezeika

Ryan Rezeika

Founder · ResonAi · Vancouver, BC

Twenty years leading enterprise IT and transformation programs: payroll and HR platforms, workforce systems, PMOs and delivery teams on both sides of the table. Now he builds applied AI for real operations: agents, gateways and knowledge systems that survive the day-to-day. He also teaches project management, so every build comes with a plan and a governance model, not just a demo.

Insurance · PMO30-50 h → 4-8 h

Cross-project failure analysis for a Canadian insurer's PMO, per reporting cycle.

Read the case → PMO operationsEvery call logged

A status and escalation agent that escalates with a written reason and leaves verdicts to humans.

Read the case → Knowledge systems3 corpora

Professional bodies of knowledge turned into systems that answer with sources.

Read the case → HCM implementation10 years

A decade of implementation judgment, encoded as a system you can question.

Read the case →
10 Take it to the committee

The enterprise capability brief.

One page for your CISO, procurement and steering committee: what we build, how it's secured, where it can run, and how an engagement is structured.

Download the PDF Send it to a colleague
For CIOs, EPMOs and security leaders

Questions, answered

Bring the hard ones to a 30-minute briefing, or bring your CISO.

How do you keep AI inside our security rules?
Your apps never call an AI vendor directly. They call the gateway. Every call is logged: who, which model, tokens, cost. The prompt and the reply are not stored. We checked the logs to prove it.
Can processing stay in Canada?
Storing your data in Canada is easy. Running the model inside Canada limits your choice of model today: Canada-only processing currently means specific OpenAI models in Azure's Canada East region. Claude can keep your data stored in Canada, but its processing runs outside Canada. A Canada-only key can't reach a model hosted outside Canada: the call is refused before it leaves. We tested this.
Do model providers train on our data?
We build on commercial model terms. Under these, the model providers don't train on your data. Retention is agreed in writing before work starts, including what ResonAi holds.
Where can it run?
Four ways: ResonAi Cloud (each client isolated, with storage in a Canadian region), a dedicated environment of your own, inside your tenant (Azure, AWS or Microsoft 365, including Copilot Studio, so your data never passes through ResonAi), or on-premise with open-weight models, so nothing leaves your network.
Do agents act on their own?
No. Our agents draft. People send. That rule is built into the tools, not left to policy. Outbound email always waits for a person, and agents escalate with a written reason and leave verdicts to humans.
How do you handle prompt injection?
Content an agent reads is treated as data, never as instructions. Untrusted content is isolated, tool access is least-privilege, and injection testing runs after every backend change: the server refuses the request.
What does an engagement look like?
Assess. Pilot. Scale. Run. Assess finds where AI is already in use, where the risk is and where the value is. Pilot puts one governed workflow in production with real users and real data, measured. Scale reuses the same controls across more teams. Run: we stay on as your AI operations partner, on retainer. Each step ends with something you can show your steering committee, and you decide at every gate whether to go on.
Is training for our teams funded?
Often, yes. The B.C. Employer Training Grant can reimburse 80% of eligible training costs, up to CA$10,000 per participant and CA$300,000 per employer, per fiscal year. Businesses of every size, non-profits, municipalities and regional districts, and Indigenous governments can apply. Provincial government employers, Crown corporations, health authorities and federal government cannot. The Province decides eligibility, not ResonAi.
Is this legal advice?
No. Our security and governance work is engineering guidance, not legal advice.
How do we start?
Book a briefing: thirty minutes with Ryan. Bring your hardest security question, or bring your CISO. Or start with the one-page capability brief.
© 2026 ResonAi Inc. All rights reserved. Demos are shown for evaluation only.