We connect your ERP data, build the report task, and hand you scheduled reports your team can trust. You get automated reporting services without manual exports or copy-paste work.
We build the backend report task around your existing ERP system, from data aggregation to scheduled report output and clear handoff docs.
A background workflow design for pulling ERP data and turning it into reports.
The ERP has data the team needs, but report creation still needs a reliable backend task around it.
"We map which ERP data must be gathered before the report task runs, then define the background job around those inputs."
A Python job that runs the report workflow outside the main app request path.
The team needs a developer who can build cron or worker tasks instead of a one-off manual script.
"A scheduled Python task gathers ERP data, prepares the report, and runs without someone starting it by hand."
A backend connection that reads the right ERP data through documented API endpoints.
ERP data must be pulled through API integrations, with endpoint details shared after shortlist.
"When the ERP endpoints are shared, we connect the report task to those routes and test the returned data."
A build recommendation comparing n8n with a custom Python workflow.
The buyer is open to n8n or custom Python and needs a clear call on which path fits the task.
"We compare n8n against a custom Python worker for the ERP report task before choosing the build path."
Testing for the data handling, report run, and backend workflow behavior.
The report task needs robust data handling and clean code, not a fragile script with hidden failures.
"We test the ERP data pull and report run so bad inputs or broken endpoints are caught before handoff."
Real engagements. Relevant to what you need.
Workflow Automation
4-6 weeks
Initial problem
Eight project managers each spent four hours per sprint producing status reports — pulling Jira data and formatting per stakeholder preferences.
Our solution
Built sprint reporting automation on Make.com: automated Jira data extraction, templated report generation, and PDF packaging per stakeholder.
Result
32 hours of PM time per sprint reclaimed — equivalent to 0.8.
"The automated workflow runs on Make.com and has not needed intervention once in five months. PMs now manage projects instead of reporting on them."
Workflow Automation
4-6 weeks
Initial problem
HubSpot CRM data quality had degraded to a point where sales team members routinely bypassed the CRM rather than trust it — missing fields.
Our solution
Built continuous CRM automation: automated contact enrichment via Clearbit API, duplicate detection and merge workflows, and activity logging.
Result
Data quality score improved from 52% to 89% within 45 days; crm adoption by sales team increased from 61% to 94%.
"CogWorkLabs built CRM workflow automation that enriches, deduplicates, and maintains our HubSpot. The automated workflow runs continuously and our sales team now makes decisions from data they actually trust."
Workflow Automation
4-6 weeks
Initial problem
Client onboarding required 14 steps across three departments — legal, IT, and customer success — with no automated handoffs, causing missed steps.
Our solution
Built workflow automation across Zapier and n8n: automated handoff triggers between departments, document workflows, and IT provisioning integrations.
Result
Client satisfaction at day-14 post-onboarding improved by 38%; onboarding time reduced from 14 days to 3.
"CogWorkLabs built workflow automation that orchestrated the entire onboarding sequence. The automated workflows run in Zapier and n8n, eliminating the coordination overhead that used to define our onboarding experience."
ERP teams hire us to automate report generation and trust us to handle backend data carefully.
Representative clients
Droids On Roids
Workflow Automation
PL
Miquido
Workflow Automation
PL
Damco Group
Workflow Automation
US
Qubika
Workflow Automation
US
Rootstrap
Workflow Automation
US
Intellectsoft
Workflow Automation
US
"The automated workflow runs on Make.com and has not needed intervention once in five months. PMs now manage projects instead of reporting on them."
W. Szwajkiewicz
Chief Executive Officer · Droids On Roids
"CogWorkLabs built CRM workflow automation that enriches, deduplicates, and maintains our HubSpot. The automated workflow runs continuously and our sales team now makes decisions from data they actually trust."
K. Kogutkiewicz
Founder & CEO · Miquido
"CogWorkLabs built workflow automation that orchestrated the entire onboarding sequence. The automated workflows run in Zapier and n8n, eliminating the coordination overhead that used to define our onboarding experience."
K. Bartlett
Vice President · Damco Group
"CogWorkLabs built document workflow automation where a rep fills in a form, hits submit, and a fully formatted, correctly branded, data-accurate proposal is generated and delivered. Proposal volume tripled."
A. Karhs
CEO & Co-Founder · Qubika
These are the clearest report-task problems in the job details. No separate product context was provided, so each case maps to the stated service scope.
Current problem
Your team needs reports from the existing ERP, but the job post calls for a background task because manual report runs are still in the way.
Automated workflow
A Python cron or worker task gathers ERP data on schedule and creates the report using the report-generation service scope.
Human involvement
Your team confirms the report schedule and reviews the first live run.
Systems
Possible outcome
Reports are created on schedule with less manual work.
Our reporting automation services follow the ERP report task from current data flow to supported launch. Each step is scoped around your API docs, schedule, and report rules.
Typical engagement: 4-6 weeksWe map the current ERP report flow, needed data, manual steps, and where the background task should run.
60-minute workflow call, ERP report samples, and read-only access details.
We review ERP API endpoints, data handling needs, and n8n versus Python risks before code starts.
Share API docs, system notes, and any known limits on report data pulls.
We design the ERP data pull, report generation flow, schedule, checks, and handoff notes.
Approve report rules, schedule, fields, and the n8n or Python build path.
We build a working slice that pulls sample ERP data and creates a draft report from the real format.
Provide sample data and review the prototype report for missing or wrong fields.
We build the full report task with API calls, data checks, scheduled runs, logging, and UAT.
Run UAT with the target report users and approve production credentials.
We launch the ERP report task with run monitoring, failure alerts, a runbook, and a 30-day support window.
Join go-live review, name alert owners, and confirm support handoff contacts.
A 30-minute discovery call is enough to map your workflow and tell you whether automation makes sense.
For ERP report generation, small backend mistakes can affect every report your team reads.
We review each ERP report run and output rule with you before launch, so wrong data does not reach the team unchecked.
How we prove it
Every engagement includes an approval queue before go-live.
We take no referral fees from automation tool vendors. We map n8n and Python paths first, then recommend what fits.
How we prove it
Design doc lists tool options with tradeoffs before build.
We monitor the ERP data pull and scheduled Python job, so endpoint errors or missed runs get caught before you do.
How we prove it
Monitoring dashboard included; 30-day post-launch support.
We map ERP endpoints, report rules, and the n8n-or-Python choice into a clear build plan before code starts.
How we prove it
Signed scope doc and weekly updates before code is written.
A few words from the teams we've partnered with, sharing what it's been like to work with us and the impact automation has had on their day-to-day.
"The automated workflow runs on Make.com and has not needed intervention once in five months. PMs now manage projects instead of reporting on them."
32 hours of PM time per sprint reclaimed — equivalent to 0.8.
W. Szwajkiewicz
Chief Executive Officer · Droids On Roids
"CogWorkLabs built CRM workflow automation that enriches, deduplicates, and maintains our HubSpot. The automated workflow runs continuously and our sales team now makes decisions from data they actually trust."
Data quality score improved from 52% to 89% within 45 days; crm adoption by sales team increased from 61% to 94%.
K. Kogutkiewicz
Founder & CEO · Miquido
"CogWorkLabs built workflow automation that orchestrated the entire onboarding sequence. The automated workflows run in Zapier and n8n, eliminating the coordination overhead that used to define our onboarding experience."
Client satisfaction at day-14 post-onboarding improved by 38%; onboarding time reduced from 14 days to 3.
K. Bartlett
Vice President · Damco Group
These industries share the ERP data-to-report workflow that reporting automation services can handle on a set schedule.
Teams pull ERP data on orders, stock, and production status; the same scheduled Python or n8n task turns those records into repeatable reports.
A weekly production report generated from ERP order and stock data.
Distributors need recurring views of inventory, sales orders, and backorders; the workflow gathers ERP data and creates the report without manual exports.
A Monday backorder report built from ERP inventory and order endpoints.
Ops teams compare ERP order, stock, and fulfillment data often; the report task aggregates those fields and sends a clean snapshot on schedule.
A daily order and inventory report created from ERP data.
Service teams track jobs, parts, and billing records in an ERP; the automation turns those records into scheduled reports for managers.
A weekly job-cost report generated from ERP work order data.
Common questions about hiring CogWorkLabs for reporting automation services tied to an existing ERP system.
You'll work with named engineers and a dedicated delivery manager — not an anonymous team bench.
Awais Shahid
Automation Consultant & Solutions Advisor
Awais runs discovery, maps your process, and turns it into a scoped, build-ready plan for custom scripting and automation — staying your one named point of contact through sign-off.
Experience
Zegham Ali
AI Agent & LLM Engineer
Zegham designs the AI agents themselves — scoped permissions, bounded memory, evals, and monitoring — so an agent stays observable and safe in production, not just impressive in a demo.
Experience
Zeeshan Ahmad
Founder & Principal Automation Architect
Zeeshan owns the architecture behind every build — choosing the stack, designing the integrations, and deciding where reliability layers like failure handling and human review gates need to sit before a system goes live.
Experience
Book a 30-minute discovery call. We'll map your current workflow and tell you exactly what we'd automate — and whether it's worth building.
