Internal workflow and approval apps
Replace email-driven approvals and manual handoffs with structured, auditable workflows.
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Custom AI-Enhanced Apps
Build custom applications that make AI useful inside real work.
We design and build focused business applications that combine clean user experience, governed data, workflow automation, and AI-assisted features — built around your specific workflow, not a generic template.
Custom DevelopmentPower PlatformAzure AICopilot IntegrationGoverned Data
01 — Fit
When custom apps make sense.
Not every gap needs a custom application. But when existing tools cannot fit the workflow, custom is often the most pragmatic answer.
- Existing tools do not fit the workflow
- Users are stuck between spreadsheets and enterprise systems
- A process needs a lightweight, focused product experience
- AI needs a governed front end
- Data needs to be captured in a structured, auditable way
02 — Scope
What we build.
Client and customer portals
Purpose-built surfaces for external stakeholders to interact with your data and processes.
AI-assisted intake tools
Structured intake with classification, summarization, and routing built in from the start.
Data review and approval apps
Purpose-built tools for reviewing, validating, and acting on structured data.
Reporting and operations dashboards
Tailored views of operational data that leadership can trust without manual exports.
Field and mobile-friendly apps
Lightweight apps for teams that need access on the move without a full enterprise system.
03 — AI Capabilities
AI features we embed.
We add AI where it creates genuine leverage — not as a feature checkbox, but as part of the core workflow design.
Document summarization and key-point extraction
Classification and intelligent routing
Draft generation from structured inputs
Knowledge retrieval and answer synthesis
Recommendation workflows and exception detection
Natural language interfaces for structured data
04 — Method
How we deliver.
01
Understand
Define the use case and success criteria
We start with the workflow gap, not the technology. What does the user need to do? What data does it touch? Where does the AI add real leverage?
02
Design
Design the app and data model
We design the user experience, data structure, and AI integration points together — so they reinforce each other rather than fighting at the seams.
03
Build
Build with governance from the start
We implement with proper security, data ownership, and release practices — so the app can be maintained, improved, and extended over time.
04
Iterate
Refine based on real use
We support post-launch refinement: prompt tuning, UX improvements, data model adjustments, and use-case expansion as adoption grows.
05 — Engagement
How we engage.
Discovery and Scoping
1–2 weeksBest for: Evaluating whether a custom app makes sense
Output: Use-case brief, data model, build estimate
MVP Build
4–10 weeksBest for: A focused first version of a working app
Output: Production-ready application with core features
Full Product Build
8–20 weeksBest for: Comprehensive custom application
Output: Complete app with integrations, AI features, and governance
Ongoing Support
Monthly cadenceBest for: Post-launch improvement and iteration
Output: Backlog management, feature releases, prompt refinement
Have a workflow gap that needs a real solution?
We can help evaluate whether a custom application is the right fit, scope a practical MVP, and build something your team will actually use.