TICOMIX AI
Integrate AI where it matters most
From embedded intelligence to autonomous agents, we design AI tools that streamline work and drive impact.
Our AI Integration Process
We help organizations design and deploy practical AI solutions—from embedded intelligence in your apps to autonomous agents that act on your behalf. Here’s how we guide you from idea to execution:
Step 1
Exploration Sessions
We help you identify the best use of AI—whether that’s deploying agents, enhancing internal tools, or embedding models into your workflows. The focus is on driving efficiency, automation, or insight where it matters most.
Step 2
Opportunity Snapshot
You’ll get a structured summary of high-potential use cases—from agent-ready tasks to targeted AI enhancements—prioritized by business value and technical feasibility.
Step 3
Solution Design & Proof-of-Concept
We architect your first solution: a purpose-built agent or a smart AI integration. You’ll get a working prototype aligned to real processes, not theoretical ones.
Step 4
Iterative Deployment & Refinement
We test, refine, and expand. You stay in the loop throughout—validating results, shaping features, and building internal confidence as we scale.
Why Invest in AI?
Stay Competitive
Use AI to innovate and outpace competitors
Improve Profitability
Boost profits with AI-driven efficiency
Retain Customers
Enhance customer loyalty through AI insights
Where AI Delivers Value
- Intelligent Process Automation: Automate repetitive tasks such as data entry and invoicing to increase efficiency
- Enhanced Customer Insights: Analyze data for targeted marketing and personalized recommendations
- Advanced Self-Service Support: Provide customers with quick solutions through intuitive, AI-driven interfaces
- Predictive Maintenance: Detect equipment failures early to reduce downtime and costs
What Leading Companies Are Doing with AI
We track how leading enterprises are using AI—not to copy them, but to apply the same winning strategies in practical, scalable ways for our clients.
Focused on speeding up advisor workflows, they used structured “evals” to test and refine AI use cases. Today, 98% of advisors use AI daily—cutting search and follow-up time dramatically.
Integrated AI into its job-matching engine to personalize recommendations and explain the “why” behind each match. Result: a 20% increase in applications and improved hiring success.
Launched an AI assistant for customer support. Within months, it handled two-thirds of chats, reduced resolution time from 11 to 2 minutes, and is projected to drive $40M in annual profit improvement.
Empowered employees to create custom AI tools—resulting in 2,900+ internal GPTs built across departments, automating tasks and accelerating processes company-wide.
We didn’t build these—but we help companies like yours apply the same principles: start small, validate early, and scale what works.