Three exports every Monday
The same task repeated.
BoldBellowsAI data analysis automation for teams who build the same weekly report by hand
AI data analysis automation that calculates in code, explains in plain language and delivers the report to the people who need it
AI data analysis works best when code does the calculations on the data and the model explains and summarizes the results, because language models are not reliable calculators. BoldBellows lists the questions your team asks of its data each week, where the data lives and what a trustworthy answer looks like, before a model reads a single row, does the calculations in code, uses the model to explain and summarize what the numbers show, states what data was used and what it cannot say, and sends the finished report to the people who need it, then builds AI data analysis automation report by report: data is pulled on a schedule from your spreadsheets, database or tools, cleaned and checked, the figures are calculated by code, an AI spreadsheet analysis step writes a plain-language summary of what changed and why it may matter, trends and unusual values are highlighted with the numbers shown beside the words, AI sentiment analysis can be added for survey comments, and the AI reporting automation sends the finished report by email, Slack or a dashboard with a note of the data used. Custom AI data analysis automation can add chatgpt data analysis questions on demand and AI dashboard automation.
View Pricing
One-off setup from $1,315
No monthly subscription
- AI data analysis
- Numbers calculated by code
- Plain-language reports
- Data pulled on a schedule no manual exports
- Calculated in code not by the model
- Plain-language summary with the numbers beside it
- Sent where people read email, Slack or dashboard
- Owned exceptions Every blocked record names the person who resolves it
- Simple commercial terms $1,315 up front for the entry package, with no renewal to remember
Chapter 01 the weekly-report-by-hand problem
The same weekly report built from three exports is the best argument for automating it carefully
Every Monday someone downloads three exports, pastes them into a workbook and writes a paragraph about what moved. The paragraph is rushed, the workbook breaks when a column is added, and the report is late when that person is away. A manager pastes the same data into a general AI tool and receives a confident summary with a total that does not add up. Nobody can tell which numbers are real, so the report is rebuilt by hand anyway, and the insight arrives after the decision.
Monday's report arrived before the meeting started, with numbers that matched the dashboard.
A workbook that breaks
A new column did it.
A late report
The person was away.
Before
After
Before
- Each AI Team notification creates a new dataset
- Reports are built by hand from exports and are often late
- Pasting data into a general AI tool gives fluent but unreliable numbers
After
- The dataset, the question and the findings decides create or update
- Data is pulled and calculated by code on a schedule
- The model writes the explanation, with the numbers beside it, and the report arrives on time
Chapter 02 How it works
How raw data becomes a report people actually read
The route judges the change first, then finds the dataset by its key and writes only what is missing.
Read and judge the change
The AI Team event is verified, its account, resource and time are recorded, and the failed request is tested against your written rule.
Pull, clean, calculate
Data is pulled on a schedule, cleaned and checked, and the figures are calculated in code.
Explain, highlight, send
The model explains what the numbers show, trends and outliers are highlighted, and the report is sent.
Behavior we rely on in AI Team and in the model
- Numbers first, words second: AI data analysis works best when code does the calculations on the data and the model explains and summarizes the results, because language models are not reliable calculators.
- Let code count and let the model explain: Because language models can be wrong on arithmetic, the build calculates every number in code and uses the model only to describe results that are already correct.
- Repair path: When a write cannot be confirmed, AI Data Analysis is searched by the dataset, the question and the findings before any second attempt.
Chapter 03 What ships in the build
How reports are produced: pull, calculate and explain
Essentials decides which changes count and fixes identity. Workflow builds and writes each dataset. Control keeps watching AI Data Analysis after launch.
Eligibility reader
Checks each incoming AI Team failed request against your written rule and records the verdict.
Stable identity ledger
Writes the inputs, evidence and approval for each AI Team proposal to a ledger your team can search.
Field map guard
Only the AI Team values on the written map are shaped for AI Data Analysis; everything else stays where it began.
Scheduled data pull
Pulls data from sheets, databases and tools on a schedule.
Cleaning and checks
Cleans the data and checks for gaps, duplicates and odd values.
Code calculations
Calculates every figure in code so the numbers are exact.
AI summary
Writes a plain-language summary with the numbers shown beside it.
Report delivery
Sends the report by email, Slack or dashboard with a note of the data used.
Exception board
Lists every blocked, ambiguous or refused AI Data Analysis write with an owner and an age.
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Chapter 04 Who this fits
For product managers and turn spreadsheets and exports into a plain-language report each week, with the numbers calculated by code and the explanation written by AI
A report is only useful if it arrives on time, is right and says what matters, and each of those is easier when the routine is automated.
Operations manager
"Get the report on time."
It's ready before the meeting.
Analyst
"Spend time on insight."
The assembly is automated.
Marketing lead
"See what moved."
Changes are explained.
Finance lead
"Trust the figures."
Code does the arithmetic.
Founder
"Read one page."
Summaries are plain.
Sales manager
"Spot problems early."
Outliers are flagged.
Chapter 05 The options
AI Team to AI Data Analysis through someone building the same weekly report by hand from three exports, a zap or scheduled data pulls, code-based calculations, AI-written summaries and delivery to the right people
Each can summarize a spreadsheet. Only one calculates in code, explains in plain words and delivers on schedule.
| Question | Manual exports | Wrong totals | Our reporting route |
|---|---|---|---|
| What starts the work | Someone notices a change | Any configured event fires | A qualified failed request passes an explicit admission rule |
| How identity is decided | Staff search names or email | A visible field is assumed unique | Manual reports and unreliable AI sums |
| What reaches AI Data Analysis | Whatever someone copies | A flat field bundle | Code-calculated, AI-explained reports |
| After an uncertain result | Two people compare both systems | The task retries or stops | Looks up, compares, then repairs or assigns |
An older event arrives after a newer state
The event time is compared with the stored state, so a late AI Team change is logged and cannot overwrite a newer dataset.
An export arrives with a missing column
The data check notices the missing column before calculating, holds the report, tells the owner what is missing and sends the report as soon as the data is fixed. The dataset, the question and the findings is searched and the candidate is compared with what was intended, then one of four results is recorded. Only an absent dataset is ever created.
Connect AI Team to AI Data Analysis through the dataset, the question and the findings first; every dataset and every repair check depends on it.
Interlude Datasets, questions and findings set the price
Pricing for reports: sources and recipients
Packages start at $1,315.
View Pricing
One setup fee · Range shown first
Pricing
Build your AI Team AI Data Analysis price
Pick a package, answer three short questions about how AI Team data should reach AI Data Analysis, and your price and turnaround move as you choose.
Chapter 06 The process
Six steps from a weekly scramble to an automated report
Six steps, each with a named output, take the route from brief to a monitored launch.
-
About 30 minutes
List your recurring questions
We list the reports you build, the questions they answer and the data behind them.
-
Access review
Approve access
Limited rights to AI Team, a model connection you control and a written approval path are in place before the build starts.
-
Most of the project
Agree checks and delivery
The data checks, the wording style and who receives each report are written down and signed off.
-
Before you review
Test the awkward cases
Repeats, late events, missing values and permission loss are run against a test copy of AI Data Analysis first.
-
Handover day
Launch with notes
Handover closes the project: a live route, a checkpoint to prove it, and documentation to run it.
-
About 30 minutes
Watch the first weeks
For the first month we review the checkpoint log with you, look at retries and drift, and fix anything the real data reveals.
Chapter 07 Turnaround
Days to delivery, package by package
The count starts once access to the data sources and a recent report are available.
Essentials
6 to 10 business days
Workflow
10 to 16 business days
Control
16 to 24 business days
Chapter 08 Getting started
Items to hand over at kickoff
Consent from your AI Team owner to read the agreed records
Access to the data sources, a copy of a recent report and the list of recipients
AI Team API access and the events you want the route to use
A written rule for the failed request that counts
A named person who owns exceptions and mapping decisions
Any existing automations in AI Team or AI Data Analysis that touch the same data
Chapter 09 Trust
Only approved fields travel, and neither product is patched
Scoped access to AI Team, a minimal prompt and an approval gate mean the model advises and your rules decide.
Neither product is modified
AI Team and AI Data Analysis are reached through their published interfaces; nothing inside either is changed.
Scoped, revocable access
Connections are restricted to the objects on the approved list.
Field minimization
Only allowlisted values reach AI Data Analysis. Notes, payment details and other AI Team data stay in AI Team.
Repair begins with a lookup
A retry reads AI Data Analysis by the dataset, the question and the findings first, so a doubtful reply never turns into a second dataset.
Minimal logging
Only technical identifiers reach the run history.
Full handover
The finished route and its explanation are delivered together.
"The point is to spend people's time on deciding, and to let the routine of assembling and describing happen without them."
Steven GrratFounder, BoldBellows
Chapter 10 In their words
What BoldBellows clients say
Verified reviews from business owners who use BoldBellows automations every day, from marketing and data to support and operations.
AI Workflow Automation for Agencies
Running a digital agency with many clients was overwhelming. BoldBellows built one automation dashboard that tracks tasks, sends updates and creates client reports automatically.
Clients love the transparency and we love the time we get back. Productivity is up, and project delays have dropped to almost zero.
AI Customer Journey Automation
We wanted a smoother path from first contact to purchase. BoldBellows built an AI system that guides each customer there automatically.
It sends personalized messages, recommends products and follows up at just the right moment. Customer retention has improved dramatically.
AI HR & Recruitment Automation
Our HR team was drowning in applications. BoldBellows automated screening, skills-based filtering and interview scheduling.
It saves us hours every week and means we only interview qualified people. Hiring is now faster, better organized and more professional.
AI Accounting & Invoice Automation
BoldBellows automated our whole invoicing process: creating invoices, sending reminders and tracking payments.
Late payments dropped sharply, and our accounting team finally has time for strategy instead of repetitive admin. Worth every penny.
AI Data Entry & Reporting Automation
We used to spend hours collecting data and building weekly reports by hand. BoldBellows automated all of it.
The reports are clean, visual and easy to read, and our managers rely on them for quick decisions. Human error is gone and our numbers are more accurate across the board.
AI E-commerce Listings Automation
BoldBellows automated our product listings. The AI writes descriptions, organizes photos and publishes listings across several marketplaces.
It even answers customer questions instantly. Our store looks more professional and sales have noticeably increased.
AI Document & Contract Automation
Onboarding was slow because we wrote every contract by hand. BoldBellows automated the lot: contracts, welcome emails and client setup.
What took 48 hours now takes under 10 minutes, and clients regularly tell us how professional it feels.
AI Social Comment & DM Automation
We get thousands of comments and messages every week. BoldBellows built an AI system that replies instantly, filters spam and surfaces the important ones.
Engagement is up and our page looks active around the clock. It’s like having a full social media team that never stops.
AI CRM Automation
Our CRM was barely used because updating it by hand was tedious. BoldBellows automated data entry, tagging, segmentation and follow-ups.
Now the CRM is always up to date and our campaigns are far more accurate. It improved our whole sales pipeline.
AI Chatbot & Customer Support
BoldBellows built an AI support chatbot for our online boutique, and it has changed how we run the business. We used to have two full-time staff answering the same questions all day. Now the AI handles order tracking, product recommendations and even refund requests on its own.
What surprised me most is how natural it sounds. Customers compliment the ‘agent’ without realizing it’s AI. Our support workload dropped by 75% and customer satisfaction went up dramatically.
AI Content & Social Media Automation
Our marketing agency couldn’t keep up with content. BoldBellows set up an AI content engine that writes blog posts and captions and even designs our social media creatives.
It spots trends and suggests topics for us, so we stay ahead of competitors. We now produce three times the content with the same team, and engagement has soared. They didn’t just automate our workflow, they lifted our whole brand.
AI Lead Qualification & Sales Automation
Our sales team wasted hours chasing cold leads. BoldBellows built an AI lead-scoring system that reads behavior, email engagement and buying signals.
It filters out weak leads and sends personalized follow-ups automatically, so our team only talks to people who are ready to buy. Conversions rose 40% in the first month. It paid for itself straight away.
AI Video & Voice Automation
We publish product videos every week, and BoldBellows introduced us to AI video automation. The system writes the script, voices it and produces the finished video in minutes.
The quality is remarkable: professional voiceovers, clean visuals and smooth editing. Production time went from three days to under 30 minutes, and we scaled our video marketing without adding cost.
AI Email & Smart Inbox Management
Our inbox used to be chaos. BoldBellows built an AI email system that sorts messages, drafts replies and flags anything urgent.
It learns how we write and gets better every week. We reply faster and no longer miss important messages. It feels like having a personal assistant working around the clock.
AI Booking & Scheduling Automation
Our coaching business needed a better way to schedule. BoldBellows automated all of it: bookings, reminders, cancellations and follow-ups.
No-shows fell by 60% and clients enjoy how smooth it is. It feels personal, not robotic. One of the best upgrades we’ve made.
AI Translation & Localisation
When we expanded abroad we needed fast, accurate translations. BoldBellows built an AI translation system that turns our content into several languages instantly.
The translations read naturally and suit each culture. We now serve customers in five new countries without hiring translators. BoldBellows helped us go global.
AI Voice Assistant
BoldBellows built a custom AI voice assistant for our customer hotline. It answers questions, books appointments and handles simple requests.
Customers love how fast it is, and our call-centre workload dropped dramatically. One of the smartest upgrades we’ve made.
AI Automation Partner
BoldBellows is hands-down the best AI automation partner we’ve worked with. Their systems are fast, reliable and built around how our business actually works.
Every automation they’ve delivered, from customer service to content, runs flawlessly. We’ve saved time, cut costs and grown faster than we expected.
Chapter 11 Questions
Data analysis automation: what operations and finance teams ask
The essentials in question-and-answer form, with room for your own in the quote request.
Is an AI Team AI step in Zapier or Make enough?
If you only need reports that arrive on time, correct and readable, a zap will do it. It will not get from raw data to a written insight without a weekly scramble. Closing those gaps is what this build is for.
Who does the calculations?
Code does, so the numbers are exact; the model only explains the results.
Can it analyze sentiment in comments?
Yes, survey and review comments can be summarized and grouped by theme.
Where do reports go?
By email, Slack or a dashboard, on the schedule you choose.
What if the data is wrong or missing?
Checks run first, the report is held and the owner is told what to fix.
Can people ask follow-up questions?
Yes, a question interface can be added, answering from the same checked data.
Is report automation priced per report?
Each recurring report is scoped, and the data sources and recipients add up to one fixed total.
Is the AI API and Document field list reviewed with us?
Data sources, checks and recipients are sketched in one page, and the first report runs once you agree.
Can we limit which AI Team changes qualify?
Yes. The approval path, the proposal types and the escalation rules are written for your team, from $1,315.
Who owns the route after handover?
Dependencies are listed at handover. A breaking change pauses just the part it touches and alerts your owner, and post-review fixes are quoted separately.
Give your team a report with exact numbers and a plain-language story
Tell us which report costs you the most time every week; your written quote arrives before we connect to any data.
- From $1,315, paid once
- Calculated in code
- Plain-language summary
- No monthly fee from us