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Sales and intake
Outbound that qualifies on evidence before it writes a word.
An AI sales agent finds companies showing they can pay and need what you sell, finds a real decision-maker with a lawfully usable address, and drafts outreach a founder would answer. Sending stays inside the law and inside a daily budget.
Who it is for
Built for the team that does this by hand.
B2B companies selling an engagement of $5,000 or more, where a bad list costs more than no list
Founders who write their own outreach and want the research finished before they do
Teams burned by tools that mailed ten thousand people and booked nobody
What it does
Outbound sales agents, by the job.
Finds companies from signals
Hiring posts, funding, ad activity, a live checkout, a pricing page: the engine looks for evidence of money and of need, and keeps the URL that proved each one.
Verifies the person and the address
A decision-maker named on the company's own site, with an address that satisfies Canada's anti-spam law and CAN-SPAM. No purchased guesses, no invented names.
Writes what a founder would answer
One observation about the company in the first two lines, an interest question rather than a calendar link, under 120 words, and a different ask at every step.
Learns from closed deals only
Replies and meetings are recorded, but the model of what a good company looks like updates only from deals that closed and stayed.
How it is built
The build, in order.
Every system here is scoped as one bounded workflow with a written success metric and a kill threshold agreed before the build. The steps below are the ones specific to this one.
Define the buyer in evidence
Not a persona. The observable facts that separate a company that buys from one that browses, and the public source each fact can be read from.
Dry runs
The agent finds, qualifies and drafts for two weeks with sending off. You read every draft and every rejection reason, and the bar moves until the rejects are right.
Send inside limits
Daily send caps, per-vendor spend caps checked before each paid call, and every message signed by a named person with a working unsubscribe.
Measure to revenue
Positive replies, meetings held and closed-won by source, against the cost of every API and every inbox, in one daily report.
In production at Strataigize
We run this ourselves.
This is the engine that runs Strataigize's own outbound. It discovers companies, proves money and fit from independent evidence, refuses any contact it cannot use lawfully, drafts copy in a plain register that its own gates enforce, and meters every vendor against a daily spend cap checked before the call is made. Its dashboard is what our team reads each morning.
Governance
What a person still approves.
- Sending is off by default and turns on per campaign with a named sender and a daily cap
- Canada's anti-spam law and CAN-SPAM are enforced in code: sender identification, a working unsubscribe, and a lawful basis recorded per contact
- A contact the engine cannot use lawfully is held with a reason, never worked around
The rest of the posture is published on trust and security: client-granted access you can revoke, credentials in managed stores, an AI governance summary aligned to the NIST AI Risk Management Framework, our subprocessors, and a DPA on request. We do not hold SOC 2 and we say so there.
Price
Published, not gated.
Pilot builds $25,000 to $60,000 fixed, production retainer from $8,000 per month. Every AI build starts with a $7,500 AI Opportunity Audit over two weeks that is credited toward the build if you proceed, and a pilot is one bounded workflow on your real data over 30 to 90 days with a written success metric and a kill threshold.
The full price list is on the pricing page, and the cost drivers, with the questions that expose a padded quote, are in how much AI agents cost in 2026.
Case studies
The work behind it, documented.
Strataigize Marketing
How Our Marketing Agency Uses AI Agents to Automate Busywork
Strataigize Marketing
AI Agents for Business: The Operator Running Our Agency
Questions
Outbound sales agents, answered.
What is an AI sales agent?
Is AI outbound legal in Canada?
Does it work with Instantly, Apollo or HubSpot?
Related
Where this connects.
AI agent development · Lead qualification agents · HubSpot and CRM implementation
The other systems in the catalogue: lead qualification agents, customer support agents, document processing agents, internal knowledge assistants, ad optimization systems, client reporting automation, content engines, computer vision systems, mcp servers and agent-callable surfaces, always-on operations agents.
Teams that hand us the number
Pilot builds $25,000 to $60,000 fixed, production retainer from $8,000 per month
Real ranges, published. Ad spend stays in your own accounts.
See the full pricing table →Where this fits: see the Strataigize Growth System, the ladder every engagement runs on.
Talk to the build team about outbound sales agents
Name the workflow you want it to run and we reply within 24 hours with whether it is a fit, the bounded scope we would propose, and the payback math.
Start with one workflow.
A free 30-minute audit call with the senior team names the workflow this system should run first and what it should cost, whether you build it with us or not.
Book your growth audit →Canadian and looking at funding? How the BDC LIFT program works. Public sector? How we build for government.
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