Modern technology. Meaningful transformation.

Business Process Automation

Remove the manual handoffs, reconciliations and rekeying that slow operational teams down.

Business process automation uses software to carry out steps a person is currently performing by hand — routing an approval, moving data between systems, generating a document, checking a record against a rule. The value is in removing delay and transcription error, and in making the process consistent and auditable rather than dependent on who happens to be doing it.

• Approval and exception workflowsRouting, escalation and audit trail, with the rules held in one place.
• Document and data captureExtracting structured data from invoices, orders and forms arriving as PDFs or email.
• Scheduled and event-driven processingWork triggered by a business event rather than by someone remembering.
• Reconciliation automationMatching across systems, with only the genuine exceptions surfaced to a person.
• Notification and case handlingMaking sure the right person is told, and that nothing sits unowned.

System Integration

Connect ERP, CRM, warehouse, e-commerce and finance systems so information moves without human intervention.

System integration is connecting separate applications so that information moves between them reliably and without re-entry. Most of the difficulty is not technical — it is agreeing which system owns each piece of data, and deciding what should happen when a message fails.

We treat error handling as part of the requirement rather than an afterthought. An integration that works when everything is healthy is straightforward; one that behaves correctly at 2am when a downstream system is unavailable is the one worth building.

• Integration architectureWhich system is the source of truth for each entity, and in which direction data flows.
• API design and developmentDocumented, versioned interfaces built for the systems that will consume them.
• ERP and CRM integrationConnecting Dynamics 365 to warehouse, banking, e-commerce and reporting systems.
• Third-party and legacy connectivityIncluding systems with no modern interface, handled without destabilising them.
• Monitoring, retries and replayFailures detected, alerted and recoverable without data loss.

Power Platform

Power BI, Power Apps and Power Automate — governed properly so the estate stays maintainable as it grows.

The Power Platform is unusually good at closing the gap between what a core system does and what a specific team actually needs. It is also unusually easy to end up with two hundred unowned applications and no idea which ones matter.

We build on the platform and we set up the governance around it at the same time — environments, data-loss prevention policies, naming, ownership and a supported path for applications that outgrow their original author.

• Power Apps developmentTask-specific applications for processes a core platform does not cover well.
• Power Automate flowsWorkflow and integration automation across Microsoft 365 and line-of-business systems.
• Power BI reportingModels and dashboards built on a defined semantic layer rather than ad-hoc extracts.
• Dataverse designData model, relationships and security roles designed to scale.
• Platform governanceEnvironment strategy, DLP policy, ALM and application ownership.

Data & Analytics

Give leadership one version of the numbers, current enough to make decisions from.

The most common reporting problem in a mid-sized organisation is not a lack of dashboards. It is that two departments produce different figures for the same measure, both are defensible, and nobody can quickly establish which to use.

That is a definition problem before it is a technology problem. We work on both: agreeing what each measure means and where it comes from, then building the model and the reporting on top of that agreement.

• Data platform designConsolidating operational data into a model reporting can rely on.
• Semantic layer and measure definitionsOne agreed definition per metric, documented and owned.
• Operational and executive reportingReports built for the decision they support, not for the data that happened to be available.
• Microsoft Fabric and Power BIImplementation, modelling and performance tuning.
• Data quality monitoringDetecting the upstream breakages that quietly corrupt a report.

Application Modernisation

Move ageing applications onto supported platforms without stopping the business.

Older line-of-business applications rarely fail outright. They become expensive: hard to change, dependent on one or two people, running on frameworks that no longer receive security updates, and blocking every project that needs to integrate with them.

Modernisation is usually best done incrementally — moving capability out of the old application piece by piece while it continues to run, rather than attempting a single replacement that has to be right first time.

• Assessment and optionsWhat to migrate, what to rebuild, what to retire, and what to leave alone.
• Incremental migrationMoving functionality in stages so the business is never waiting on a single cutover.
• Cloud migrationMoving workloads to Azure with the operating model and cost profile considered upfront.
• Interface modernisationBringing an ageing application into current integration and security standards.
• DecommissioningRetiring the old system properly, including data retention obligations.