Blog – Applications
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Why Top Accounting Firms Are Still Building Their First Client Portals
Learn why top accounting firms lack good client portals and what it actually takes to build one that clients use from Soliant Consulting.
Deterministic AI: How to Build an AI Application That Gives the Same Answer Every Time
Learn why reliable AI applications are mostly code, not AI models, and how to design a system that gives consistent, repeatable results.
From Concept to Production: Lessons from Building a Production AI Assistant
What it takes to build an AI assistant that works in production. Real architecture decisions, honest lessons, and the practices that keep it trustworthy.
Model Context Protocol (MCP): The Protocol That Connects AI to Your Business
MCP connects your AI applications to real business data. Here’s what it is, how it works, and what it means for your AI strategy.
Automation vs. Orchestration: Why the Difference Matters More Than You Think
We split AI solutions into two categories: automation and orchestration, and confusing them is costing businesses more than they realize.
Running a Successful Project with Two Technical Leads
Learn how to successfully run a project with two senior technical leaders to benefit a project, not hold up its progress.
Ethical AI?
As we leverage AI for our clients, we also wrestle with how to do so ethically. Here are our guidelines we use to ensure do so.
Project Managers in Agile: Necessary or Not?
There’s no “PM” in Scrum. But then who manages constraints like budget, timeline, and scope? Explore the PM role in agile development.
How to Extend the Life of Your Legacy Application with Node.js Modernization
Learn why our expert developers lean on Node.js to help our clients modernize their legacy applications fast.
The Quantum Problem: Protecting Your Data from Quantum Decryption
Learn how quantum computing could break current encryption protocols and how to future-proof your data security with quantum-safe encryption.