Generic AI assistants are everywhere. What sets leaders apart is AI that knows your business—your products, your processes, your customers—and acts on that knowledge autonomously, accurately, around the clock.
Generic AI assistants are everywhere. What sets leaders apart is AI that knows your business—your products, your processes, your customers, your brand voice—and acts on that knowledge autonomously. TechMerch Innovations designs and trains bespoke AI agents that integrate directly into your workflows, whether that means a customer service agent that handles 80% of tier-1 tickets, a sales agent that qualifies leads 24/7, or an internal operations agent that manages procurement and reporting.
Our agent development process covers everything from data collection and fine-tuning to deployment infrastructure and continuous improvement loops. We build agents with robust guardrails, full auditability, and human escalation paths—so your team stays in control while AI does the heavy lifting.
Tools & Frameworks
Book a free 30-minute strategy call or send us a message. Our senior AI agent engineers will review your workflows and respond within 48 hours.
Prompting tells a general model how to behave in a session. Fine-tuning permanently adjusts the model's weights by training it on thousands of examples from your business—your products, tone, policies, and edge cases—so it responds correctly by default rather than needing extensive instructions each time. Fine-tuned agents are faster, cheaper to run (shorter prompts), more accurate on domain-specific tasks, and significantly harder for competitors to replicate.
The timeline depends on data availability and agent complexity. Data collection and preparation typically takes 1 to 3 weeks. Fine-tuning or RAG pipeline setup takes 2 to 4 weeks. Testing, safety evaluation, and refinement takes 2 to 4 weeks. A production-ready custom AI agent is typically deployed within 6 to 12 weeks from project start. Simple agents using RAG without fine-tuning can be deployed faster.
Yes. Our tool-use agents connect to your existing systems via APIs—Salesforce, HubSpot, Zendesk, Shopify, QuickBooks, custom databases, and more. The agent can read data, update records, trigger workflows, and take real actions in your systems on behalf of users—not just answer questions. We handle all integration development as part of the agent build.
We implement multiple safety layers: output validation rules, confidence thresholds that trigger human escalation when the agent is uncertain, prohibited topic filters, and audit logging of every interaction. Agents are tested against hundreds of edge cases before deployment. We also implement feedback loops where human corrections continuously improve agent accuracy post-launch.
Book a free 30-minute strategy call. We will assess your workflows, identify the highest-impact automation opportunities, and outline exactly what your custom AI agent would do—no obligation.