The following examples show how we worked with clients to solve concrete problems using AI, Power Platform, and custom systems — with clear metrics and stable operations, not experiments.
A multinational manufacturer received thousands of repetitive “where is my order?” queries across phone, email, and portals. Responses required staff to query multiple internal systems.
We implemented an AI-assisted order status assistant integrated with ERP and logistics systems, accessible via web and intranet.
Tech stack: Azure OpenAI, RAG over order and shipment data, REST APIs, existing ERP, web portal.
Results: 48% reduction in routine order status tickets in the first 3 months, average response time for remaining tickets reduced from 18 minutes to 6 minutes, and no increase in incident volume related to incorrect data.
A university’s admissions team coordinated decisions via email, spreadsheets, and manual data entry into the student information system, leading to delays and inconsistent records.
We built a Power Apps and Power Automate solution to manage application review, decisions, and communication, integrated with existing systems.
Tech stack: Power Apps, Power Automate, Dataverse, Microsoft 365, SIS integration APIs.
Results: 32% reduction in average decision time, 0 untracked decisions in the first full admissions cycle, and consolidated reporting for admissions leadership without manual data merges.
A digital agency managed dozens of client accounts with monthly reporting assembled from multiple analytics tools. Consultants spent significant time extracting and formatting data.
We implemented an automation layer that collects metrics, normalizes them, and prepares templated reporting views and AI-assisted narrative summaries.
Tech stack: Power BI, scheduled data pipelines, AI-generated summaries, client portal integration.
Results: 55% reduction in manual reporting effort for recurring clients, with report delivery consistently completed 3 business days earlier than the prior baseline.
Each engagement is scoped around a specific measurable objective, with clear start and end states. We focus on stability and maintainability, not only on initial impact.
Before implementation, we agree on the metrics that will determine whether the initiative is successful.
Monitoring, logging, and support expectations are part of the initial design, not an afterthought.
We provide documentation and handover sessions with your teams so the solution can be owned internally over time.
