Incubeta
Ogilvy
National Geographic
Disney
DMA
Oracle
atcore
Airtasker
Why teams reach for it

Analyst time is scarce. Reporting deadlines aren't.

Across every account, the manual work of assembling and writing reports gets replaced with a pipeline that runs itself.

Faster monthly reporting

60%

Less manual processing

40+

Client accounts on one pipeline

120 hrs

Analyst hours saved per month

Where teams put it to work

Six agency types. One always-on reporting pipeline.

Every agency reports differently. The pipeline adapts to the accounts, metrics and formats each oneruns on.

01.
MarTech

Multi-source platform reporting

Used by MarTech and SaaS partner agencies.

Client accounts pull data from five or six connected platforms every month. Assembling it by hand takes days and narrative quality varies by analyst. The pipeline pulls every source automatically and drafts one consistent report.

Pulls from every connected data source

Drafts a client-ready narrative automatically

Consistent quality across every account

Routes through approval before it ships

02.
SEO

Rankings, traffic and content reporting

Used by SEO and organic growth agencies.

Rankings, traffic, backlinks and content performance live in separate tools. The pipeline pulls all of it into one narrative that explains movement in plain language, not just a table of numbers.

Combines rank tracking, GA4 and GSC data

Flags wins and dips clients actually ask about

Explains movement, not just reports it

Scales to new accounts without new analyst hours

03.
Paid Media

Spend, ROAS and campaign reporting

Used by PPC and paid social agencies.

Clients want to know what their spend delivered, every month, across every platform they run on. The pipeline pulls Google, Meta and other ad accounts and drafts the story behind the spend automatically.

Consolidates spend across every ad platform

Removes copy-paste errors between tools

Surfaces CPA, ROAS and budget pacing automatically

Delivers on time even in month-end crunch

04.
Web Development

Batch refresh at scale

Used by web development and maintenance agencies.

Retainer clients want proof the site is healthy: speed, uptime, Core Web Vitals and completed work. The pipeline turns dev and monitoring data into a report a non-technical client actually understands.

Pulls uptime, speed and Core Web Vitals data

Written in plain language, not dev jargon

Logs completed tickets and maintenance work

Justifies the retainer every month, automatically

05.
Creative & Content

Content and campaign performance reporting

Used by content, social and creative agencies.

Deliverables and performance sit in different tools: publishing calendars, engagement data, deliverable trackers. The pipeline pulls it together into one report that shows output and impact side by side.

Combines deliverables with engagement metrics

Highlights top-performing content automatically

Keeps narrative tone consistent across writers

Ready before the client asks where it is

06.
White Label

Branded reporting for reseller agencies

Used by agencies reselling delivery under their own brand.

When delivery is white labelled, reporting has to look like it came from your team, not a vendor. The pipeline runs entirely under your brand, so clients never see anyone but you.

Every report carries your logo and format

Runs across your full client roster from one setup

Frees your team to focus on client relationships

Scales with new client wins, not new hires

These are the most common use cases. The pipeline fits any reporting workflow that pulls from more than one data source.
Across every use case

Every report, built on the same foundation.

Grounded in real data

Every figure is retrieved from your connected sources, never estimated.

Consistent narrative

Every account gets the same quality of writing, regardless of who is busy.

Human approval built in

Nothing reaches a client until a person on your team signs off.

Scales without headcount

Adding client accounts doesn't mean adding analyst hours.
Solution architecture

How a report moves through the pipeline.

01.

Data sources

02.

Integration layer

03.

AI model (RAG)

05.

Automation workflow

05.

Human approval

06.

Report output

Built on

The stack the pipeline runs on.

RAG
n8n
GPT-4
BigQuery
Vector DB
Python
Cloud deployment
Role-based access
How we deliver

From concept to a live pipeline

01.

Discovery

We map every source and metric currently going into your reports.

02.

Solution architecture & UX design

We design the pipeline flow and the report format your clients will see.

03.

Development

We build the RAG-backed retrieval and narrative-drafting layer.

04.

Integration

We connect every data source and the human approval workflow.

05.

Testing

We run it against real accounts and check every figure against source.

06.

Deployment & maintenance

We launch under your brand and keep it running as sources evolve.

Is your use case a fit?

Best where reporting eats real hours every month.

A strong fit if your workflow

Costs analysts days of manual spreadsheet assembly
Has narrative quality that is inconsistent across analysts
Runs into reporting delays late in the month
Loses accuracy to copy-paste errors across tools
Has no capacity to scale reporting to new clients

Probably not yet if your workflow

Covers one or two accounts on a single data source
Already takes under an hour to put together
Has no consistent format clients expect each month
Can't connect its data sources to an external pipeline
Doesn't need a human review step before delivery
Frequently Answered Questions

Everything you need to know.

My reporting workflow isn't listed. Will it still work?

The six scenarios above are the most common, but the same pattern (pull from every source, draft the narrative, route through approval) applies to any reporting workflow that spans more than one tool. Tell us what you report on today and we'll show whether it fits.

How does it know our metrics and reporting format?

During setup we connect your existing data sources and load your current report templates and tone into the pipeline. It retrieves figures from your live sources at report time and drafts the narrative to match the format your clients already expect.

Does a human check the report before it goes out?

Yes, always. The pipeline drafts the report and routes it to a named approver on your team. Nothing reaches a client until someone signs off, so accuracy and tone stay in your control.

Does this replace our analysts?

No. It removes the manual assembly work so analysts spend their time on insight and strategy instead of spreadsheets. Most teams redirect the hours saved toward client strategy work rather than reducing headcount.

Can it run entirely under our brand?

Yes. For agencies reselling delivery, the pipeline and every report it produces run under your logo and format. Clients never see anything that identifies Mavlers Agency behind it.

What does it cost across accounts?

Pricing scales with the number of accounts and data sources connected, not per seat. Once the pipeline is built, adding new client accounts costs a fraction of adding analyst hours to cover them manually.

Have a reporting workflow in mind?

Tell us how your team reports today, and we'll show you what an automated version would look like.