Approval Flows
Purchase requests, contract sign-offs — modeled once in Power Automate with Teams-embedded approvals, audit trails, and escalation. Cycle times drop from weeks to hours.
Automate repetitive business processes using Power Automate, Power Apps, and Microsoft Dataverse.
Ask any department to describe their processes and you'll hear about the official systems. Watch them work and you'll see the shadow layer: a vacation request traveling through four inboxes; supplier onboarding tracked in a spreadsheet with seventeen tabs; invoice data manually copied. Multiplied across people and years, this shadow layer often consumes 10–20% of knowledge-worker capacity. It's the layer traditional IT never reaches because no single instance justifies a project.
Four automation patterns account for most of the value we deliver:
Purchase requests, contract sign-offs — modeled once in Power Automate with Teams-embedded approvals, audit trails, and escalation. Cycle times drop from weeks to hours.
A Power App replaces the paper form or spreadsheet: field technicians log inspections on mobile, data lands in Dataverse, and a flow updates the system of record.
AI Builder extracts data from invoices and forms; a flow validates it and routes exceptions. Straight-through processing for the 80%, human attention for the 20%.
Until a proper integration exists, flows synchronize data between SaaS tools through their connectors (with the caveat that high-volume integrations belong on the enterprise platform).
The governance layer separates a sustainable capability from a future cleanup project. Environment separation keeps experiments away from production, and DLP policies prevent business data from flowing to unapproved connectors.
(minutes saved × instances per year × labor rate) + error-cost reduction − license/build cost. Candidates below a payback threshold don't get built. Typical portfolio payback is under 12 months.
Power Platform is also the fastest on-ramp for enterprise AI: Copilot Studio agents answering policy questions from your documents, AI Builder classifying incoming mail, GPT-powered steps summarizing case histories inside a flow. The governance model above extends naturally to these AI components — which is exactly why building the governed foundation first matters.
Book an automation discovery workshop — in one week we map your highest-value manual processes, quantify the ROI, and deliver the first automated workflow as proof.
Yes, with the right architecture: Dataverse for data (not personal SharePoint lists), managed environments, ALM pipelines, and critical integrations through governed APIs. The platform runs core processes at very large enterprises today.
Power Automate includes RPA (desktop flows) for legacy UIs without APIs — but API-based automation is always more reliable. We use RPA as the bridge of last resort, not the default.
That's the low-code promise: business-adjacent 'makers' build with guardrails, while professional developers handle complex components. Our Low-Code Factory model covers scaling this safely.
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