Reporting Automation Services

Reports that take 4 hours to compile every week are 4 hours of your team's time that doesn't go toward anything else. The data is in your systems. The calculations are the same every time. The format hasn't changed in months. The only reason it's still manual is that nobody has automated it yet.
We build automated reporting pipelines that pull data from your source systems, apply your calculation logic, format it correctly, and deliver it to the right people on schedule, without anyone touching a spreadsheet.

  • Automated pipelines that pull data from multiple systems and assemble reports

  • Scheduled delivery in your required format, PDF, Excel, email, or dashboard

  • Custom calculation logic, data transformations, and formatting rules

  • 100+ products shipped including automation and data pipeline systems

Recent outcomes

Reporting automation · US operations business

4 hrs → 30 sec

Replaced a 4-hour weekly Excel reporting process with an automated pipeline pulling from ERP and CRM. Report now delivered every Monday at 6am without human input.

AI OCR · Gas station operations

20,000+ daily transactions

Built an automated data extraction and reporting pipeline processing fuel transactions across 200+ sites. Manual errors eliminated.

Data pipeline · eLearning platform

5,000+ daily active users

Automated weekly engagement and progress reports across 200+ content modules, delivered to instructors each Monday before the school day started.

4.9
on Clutch
See our work

The problem

Sound familiar?

  • Someone on your team spends hours every week assembling the same report format?

  • Reports delayed because the person who builds them is on leave?

Short answer

RaftLabs builds reporting automation pipelines for businesses across the US, UK, Europe, Canada, GCC, South Africa, and Southeast Asia. We pull data from ERP, CRM, and databases, apply your calculation logic, and deliver formatted reports on schedule. A focused pipeline runs $15,000-$35,000. Fixed price, full IP ownership.

Key takeaways

  • A focused reporting pipeline pulling from 2-4 data sources with scheduled delivery typically costs $15,000-$35,000
  • Reports that previously took 4 hours to compile manually are delivered in 30 seconds once automated
  • RaftLabs has shipped 30+ automation systems across industries including operations, eLearning, and gas station networks
  • Pipelines connect to ERP systems (SAP, NetSuite, Dynamics), CRM platforms (Salesforce, HubSpot), databases, and legacy file exports
  • Output formats include PDF, Excel, CSV, email summaries, and Power BI or Tableau data pushes
  • Calculation logic is reverse-engineered from existing reports, validated against 3+ months of historical output, and documented as version-controlled code

Trusted by

Vodafone logo
Aldi logo
Nike logo
Microsoft logo
Heineken logo
Cisco logo
Calorgas logo
Energia Rewards logo
GE logo
Bank of America logo
T-Mobile logo
Valero logo
Techstars logo
East Ventures logo
TuneClub logo

Automation delivery, by the numbers

automation systems deployed across industries
30+
average time to first automated workflow
8 weeks
rated by clients on Clutch
4.9/5
years delivering software for established businesses
9+

The report that takes 4 hours costs more than the time

The direct cost is the hours spent compiling it. The indirect cost is what that person didn't do while they were compiling it. And the opportunity cost is every decision that was made on data that was already out of date by the time the report was finished.

Automated reporting pipelines remove the human from the data assembly work. The analysis, the decisions, and the commentary, those still need human judgment. The pulling, joining, calculating, and formatting don't.

According to McKinsey research, 60% of employees could save 30% of their time with workflow automation applied to data-heavy tasks. For reporting teams, that time is concentrated in exactly the work that never needed a person in the first place: pulling rows, running calculations, and formatting output.

Capabilities

What we build

  • 01
    Data extraction and integration

    Connectors to every source system your report draws from, with source data validated before it enters the pipeline: row counts checked against prior periods, required fields verified, and date coverage confirmed. Alerts fire the moment a source errors or returns abnormal volume.

    Built with
    PostgreSQL, MySQL, SQL Server, BigQuery · SAP, NetSuite, Dynamics, Salesforce, HubSpot APIs · SFTP file pickup
  • 02
    Calculation and transformation

    Your calculation logic encoded in the pipeline as version-controlled code rather than a spreadsheet that can be silently broken or lost when its builder leaves. Every pipeline is validated against 3+ months of historical output from your existing reports before go-live.

    Built with
    Version-controlled SQL or Python · Cross-system joins · Validated against 3+ months of historical output
  • 03
    Report formatting and generation

    Report output in the format your recipients already use and trust, not a new format they need to adopt. Excel output preserves the exact sheet structure and conditional formatting recipients build downstream analysis on, and email summaries embed key metrics inline for stakeholders who only need headlines.

    Built with
    PDF via WeasyPrint or ReportLab · Excel with preserved structure · Email summaries · PowerPoint
  • 04
    Scheduled delivery

    Scheduled pipeline execution on the cadence your reports require, business-day and timezone aware so a monthly report never fires on a bank holiday. Delivery is logged for audit, with automatic retries covering transient source failures.

    Built with
    Business-day and timezone-aware scheduling · Email, SharePoint, Google Drive, or BI push · Delivery confirmation and retries
  • 05
    Dashboard integration

    Automated data pipeline that populates your existing BI dashboards with current data, so the report your operations team opens each morning shows yesterday's numbers, not last week's. For teams that need a live operational view, we build the streaming pipeline that updates the dashboard in real time.

    Built with
    Power BI REST API · Tableau, Looker, Metabase refresh · Kafka or WebSocket streaming
  • 06
    Monitoring and alerting

    Pipeline observability that confirms every scheduled report actually ran, with the right data, and reached all intended recipients. Business rule monitoring flags data outside defined bounds, like revenue 40% below last month, before a wrong report is distributed.

    Built with
    Source health checks · Run logging with delivery confirmation · Business-rule bounds monitoring

How we work

From audit to automated

Every reporting automation project follows the same four phases. Scope is locked and price is fixed before development starts.

  1. Week 1
    01

    Audit and scope

    We map every report your team produces manually: source systems, calculation logic, output format, recipients, and cadence. You leave week 1 with a written scope document and a fixed-price quote. No development starts without your sign-off.

  2. Weeks 2-3
    02

    Design and data architecture

    We design the pipeline architecture: source connectors, transformation logic, output templates, and delivery routes. Design decisions made here cost ten times less than the same decisions made in week 8. The spec is locked before the build starts.

  3. Weeks 4-10
    03

    Build, integrate, and QA

    Working pipeline at a staging environment by the end of sprint one. We validate output against 3+ months of historical reports. QA runs in parallel with every sprint, not as a phase at the end.

  4. Weeks 10+
    04

    Launch and post-launch support

    Production deployment with monitoring and alerting activated on launch day. 8 weeks of post-launch support included in every project.

Why us

Why teams choose RaftLabs

  • 01
    Senior engineers build what they scope

    The engineers who assess your reporting problem also build the pipeline. No bait-and-switch, no offshore handoff after the contract is signed. The team you meet in week 1 ships in week 10.

  • 02
    Fixed price before development starts

    We scope the work, calculate the cost, and lock it in writing before any development starts. A scope change is a change request: priced, agreed, or dropped. It never absorbs into the project and appears on the final invoice.

  • 03
    9 years and 100+ products shipped

    Clients include Vodafone, T-Mobile, Aldi, Nike, Cisco, and Lockheed Martin. Track record across AI, SaaS, mobile, automation, and enterprise platforms across healthcare, fintech, logistics, and hospitality.

  • 04
    Automation ROI measured from day one

    We baseline your current reporting time cost in week 1 and measure it against the automated pipeline output. Most clients recover the build cost within 6-12 months from time savings alone.

  • 05
    Compliance built in from the start

    GDPR, HIPAA, SOC 2 - compliance requirements are scoped in week 1, not retrofitted before launch. We have shipped HIPAA-compliant reporting systems for US healthcare clients and GDPR-compliant data pipelines for European markets.

Related services

Tell us which report costs your team the most time to produce.

We'll design the automation pipeline and give you a fixed cost.

Automate your reporting

Reporting Automation Services, scoped in one call.

Tell us what's broken. Within one business day you get a straight take on cost, timeline, and the right first step. No deck, no pressure.

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Frequently asked questions

Reporting automation replaces the manual process of assembling a report, pulling data from multiple systems, applying calculations, formatting the output, and distributing it, with a software pipeline that does all of this automatically. The pipeline runs on a schedule (daily, weekly, monthly) or on demand, producing consistent output that matches your required format every time. What took a person 4 hours to produce takes the automated system 30 seconds.

We pull data from: relational databases (PostgreSQL, MySQL, SQL Server, BigQuery), REST and GraphQL APIs, ERP systems (SAP, Oracle, NetSuite, Microsoft Dynamics), CRM systems (Salesforce, HubSpot), Google Sheets and Excel files, CSV and file exports from legacy systems, and third-party data platforms. For reporting automation, the data source combination is usually the hard part, we handle the connection, transformation, and joining of data from sources that were never designed to work together.

We generate reports in PDF (formatted documents, board packs, regulatory filings), Excel and CSV (for recipients who need to work with the data further), email summaries (automated email with key metrics and charts, no attachment), and Power BI or Tableau data pushes (populating a dashboard's data source on a schedule). The right format depends on how recipients use the report, we scope this during discovery because it affects the pipeline architecture.

Calculation logic that's been developed in Excel over years is often more complex than it looks, conditional aggregations, multi-step formulas, hardcoded assumptions baked into cells, and edge cases handled by the person who built it rather than the formula. We reverse-engineer the calculation logic from your existing reports or specifications, implement it in the pipeline code, and validate the output against known-correct historical reports before going live. The calculation logic is documented, tested, and maintainable, not a black box in a spreadsheet.

Some reports require judgment calls that can't be fully automated, narrative commentary on results, flagging of unusual data points for investigation, or decisions about what to highlight for leadership. We handle these by automating the data assembly and calculation, and building in prompts for the human reviewer to add their commentary. The reviewer focuses on the interpretation; the system handles the data work. Fully manual reports become partially automated, with human effort focused where it adds value.

A focused reporting pipeline, one report, pulling from 2-4 data sources, with scheduled delivery, typically runs $15,000--$35,000. Multi-report programmes covering an entire management reporting suite or regulatory reporting set run higher. The cost depends on the number of data sources, the complexity of the calculation logic, and the output format requirements. We scope every project before pricing it.

Work with us

Tell us what you need. We'll tell you what it would take.

We scope Reporting Automation Services in 30 minutes. You walk away with a clear cost, timeline, and approach. No commitment required.

  • Scope and cost agreed before work starts. No surprises. No obligation.
  • Working prototype within 3 weeks of kickoff.
  • Pay by milestone. You see progress before each invoice.
  • 60-day post-launch warranty. Bug fixes, UI tweaks, and deployment support. No retainer.
  • All conversations are NDA-protected.

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