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Marketing and growth
Every client's report, every week, with the advice checked against the facts.
A reporting system collects every platform's facts into a private page per client. It checks its own advice against those facts and sends a person only what fails
Who it is for
Built for the team that does this by hand.
Agencies assembling client decks by hand
Franchise, multi-location and multi-brand teams reporting the same metrics
Programs reporting to a funder, a board or a council on a
What it does
Client reporting automation, by the job.
Collects from every platform
Ad platforms, analytics, the CRM and the app stores, read-only, on a schedule, with every figure carrying its date range and its maturity: final, or still
Applies one written standard
Which metrics each campaign family reports, which windows, how a number is ranked, and when a number is too young to judge. The standard is a document, and changing the report means
Publishes to a private page
One page per client behind a login, designed to be read on a phone, with the sources listed at the bottom. No deck, no attachment, no
Checks its own judgement
Each claim about the numbers is checked against the facts before it publishes, and one it cannot verify goes to a named person. A run that would thin any client's
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
Write the standard first
Every campaign family you run, the metrics each one reports, the windows that make them comparable, and the maturity rule that says when a number
Wire the sources
Read-only access to each platform, granted by you, with the credentials in a managed store. Nothing in the pipeline can write to an
Publish behind a login
A page per client, prerendered from an encrypted payload, behind an access layer that emails a one-time code. Anonymous requests are refused, and the refusal is tested on
Let it check its own advice
Interpretation and recommendations are drafted, checked against the facts and the standard, and published when they pass. What fails goes to a named person, and a run that would thin any client's facts halts and
In production at Strataigize
We run this ourselves.
Every Strataigize client has a report page on this site, behind a login, refreshed weekly by this system. The standard behind it was written first: which metrics each campaign family reports and the maturity rules that decide when a number can be judged. The pipeline is read-only on every account, never contacts a client, and refuses to publish a run that would leave any client with fewer measured facts than the previous one. In our own reporting, a named person still approves the interpretation before a client reads it: our agents never message a client without
Governance
How it checks its own work.
- Read-only on every platform; the pipeline holds no credential that can change a campaign
- Every recommendation is checked against the facts and the standard before it publishes, and one that fails goes to a named person
- A run that would publish any client with fewer measured facts than last time halts the whole publish
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
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
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.
Questions
Client reporting automation, answered.
Can the reports be white-labelled or embedded?
How is this different from Looker Studio or Databox?
What does automated client reporting cost?
Related
Where this connects.
Analytics and tracking · Ad optimization systems · HubSpot and
The other systems in the catalogue: lead qualification agents, outbound sales agents, customer support agents, document processing agents, internal knowledge assistants, ad optimization systems, content engines, computer vision systems, mcp servers and agent-callable surfaces, always-on operations agents.
Teams we've
Clients include 3M, Jiffy Lube, Goodwill, Western University, Hino Motors, Lundin Mining, Extendicare, Calian, Wabtec, ARGO, and
Kleo
Goodwill
GameGo
Hino Motors
Sad Panda Studios
StoryNest
Blush Blush
Stoic Forge
Beyond Score
MyPetHealth
TaskHive
Sincere Notes
Voices in my Head
Black Top Cabs
BeNow Trader
Crystalyze
24/7 AI Health
Aero Imagery
RepairFind
Prepr
Guiding Light
Freestyle Dance Studio
First Step Mobility
Noa Coach
Pilot builds $25,000 to $60,000 fixed, production retainer from $8,000
Real ranges, published. Ad spend stays in your
Where this fits: see the Strataigize Growth System, the ladder every engagement
Talk to the build team about client reporting automation
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
Start with one workflow.
A free 30-minute consult with the senior team names the workflow this system should run first and what it should cost, whether you build it with us
Canadian and looking at funding? How the BDC LIFT program works. Public sector? How we build for government.
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