From failing servers to AI agents, here is how we turn technology problems into working solutions.
Digital TransformationManufacturing · Example scenario
Featured · Manufacturing
One source of truth from the shop floor to the boardroom.
Production, sales and finance each ran on their own system and their own spreadsheet. Leaders spent the first half of every meeting arguing about whose numbers were right.
What we did: We integrated the ERP, CRM and operational systems, landed the data in a governed cloud platform, built shared dashboards, and added automated alerts that trigger reorders and escalations without anyone asking.
The result: One set of numbers, refreshed automatically, with insight that now drives action instead of waiting in a report.
A client portal that replaced the email attachment.
Clients sent documents and approvals by email, so requests were lost and status questions filled the inbox.
What we did: We designed and built a secure web portal with document upload, approvals and status tracking, integrated with the firm’s existing systems.
The result: Clients see where things stand without asking, and staff stopped chasing documents.
A field app for drivers, on iOS and Android, running on AWS.
Drivers recorded deliveries on paper, and the back office re-keyed everything at the end of the day.
What we did: We built a mobile app with offline support for both platforms, connected it to dispatch through APIs, and stood up the cloud infrastructure it runs on.
The result: Delivery data reaches the office as it happens, with no re-keying.
Accounts payable staff spent their days typing invoice details into the finance system and chasing approvals.
What we did: We built document intelligence to extract and validate invoice data, plus an automated workflow that routes exceptions to the right person for approval.
The result: Routine invoices flow through on their own, and people only handle the ones that need judgment.
Digital TransformationFinancial Services · Example scenario
From spreadsheets to a governed data platform.
Critical reporting lived in a web of spreadsheets that only a few people understood.
What we did: We ran discovery, designed the target architecture, built pipelines into a modern data platform and moved reporting onto governed, documented datasets.
The result: Reporting that is repeatable, auditable and no longer dependent on a handful of individuals.