Stop re-keying data. Let AI move it for you.
Eliminate manual data entry between your CRM, ERP, and business systems. AI extracts, validates, and pushes data automatically, keeping every system accurate without human effort.
Data flowing correctly across every system.
We identify every point where your team manually transfers data between systems and replace it with automated, validated data flows that run reliably around the clock.
Cross-System Data Synchronisation
Keep CRM, ERP, and line-of-business systems in sync automatically. Data entered in one system is validated and pushed to all connected platforms without manual re-keying.
Spreadsheet to System Migration
Extract data from spreadsheets, shared drives, and email attachments and push it directly into your business systems. Eliminates the manual import process entirely.
AI Data Validation and Cleansing
AI validates data against your business rules before it is written to any system. Duplicate detection, format checking, and mandatory field enforcement applied automatically.
External Data Enrichment
Enrich your records with data from Companies House, postcode lookups, and industry databases. Customer and supplier records kept accurate without manual research.
AI-Assisted Field Mapping
AI maps data fields between systems with different schemas automatically. Handles format differences, unit conversions, and field name variations without manual configuration.
Data Entry Audit and Error Logging
Every automated data entry action is logged with source, destination, timestamp, and any validation errors. Full traceability for compliance and data quality reporting.
From data audit to automated flows.
Data Flow Mapping
We map every manual data entry point in your business, identifying source systems, destination systems, data volumes, and the staff time currently spent on re-keying.
Data Quality Assessment
We assess the quality of your existing data and define the validation rules the automation must enforce to prevent bad data entering your systems.
Integration Build
We build the automated data flows using Power Automate, Azure Logic Apps, or custom API integrations depending on the systems involved and the complexity of the mapping.
Validation and Exception Handling
We configure validation rules and define how exceptions are handled. Records that fail validation are flagged for human review rather than silently rejected.
Parallel Run Testing
The automation runs in parallel with the manual process for an agreed period. We compare outputs and resolve any discrepancies before the manual process is retired.
Ongoing Data Quality Monitoring
Post go-live monitoring of data quality metrics, error rates, and sync performance. Monthly reporting on data accuracy improvements and any new exception patterns.
Data automation for UK businesses.
Wholesale Distributor
A UK wholesale distributor re-keyed customer orders from their website into their ERP system manually, taking 45 minutes per order and introducing frequent errors.
Automated order data flow from website to ERP. Processing time reduced from 45 minutes to under 2 minutes per order. Order error rate dropped from 6% to under 0.5%.
Recruitment Agency
A recruitment agency maintained candidate records in three separate systems, with consultants spending 3 hours per day re-entering data across platforms.
Single data entry point with automated sync to all three systems. Consultant data entry time reduced by 90%. Record accuracy improved significantly with deduplication rules.
Field Service Company
A field service company transferred job completion data from engineer mobile apps to their billing system manually, causing invoice delays of up to five days.
Automated data flow from mobile app to billing system. Invoice generation time reduced from five days to same day. Revenue recognition accelerated by an average of four days.
Ready to eliminate manual data entry?
Book a free data flow review. We will map every manual data entry point in your business, estimate the time cost, and give you a clear automation plan with fixed project pricing.