Your journey for superior customer and business experience
AI Agents for Business Automation
We build production AI agents that qualify, route, update records, and trigger workflows inside your tools.
In 6 months across sales, support, and dev = 2 full-time roles.
For support agents classifying and resolving requests without human review.
When DevOps agents handled testing, release notes, and PR cleanup.
3x faster resolution, fewer escalations, consistent CX across all channels.
Our agents summarize multi-threaded emails, detect urgency, route based on context, suggest responses, and escalate only when human attention is truly needed.
Chatbots that wait for perfect prompts.
They depend on users remembering to ask the right question. Production agents act from context, events, and clear workflow rules.
Generic automations stitched together.
Tools like Zapier, Make, or n8n are useful for quick proofs, but production needs memory, permissions, observability, and fallback paths.
Ungoverned LLMs pointed at real work.
Without boundaries, source grounding, and escalation rules, agents hallucinate, stall, or trigger the wrong workflow.
Start with a scoped business action.
You do not need AGI. You need an agent that closes support tickets, updates CRM, or chases unresponsive leads reliably.
Ground agents in your real data.
Agents need access to the right knowledge, records, thresholds, and permissions before they can make useful decisions.
Orchestrate across the tools teams already use.
Salesforce, Slack, Notion, HubSpot, ClickUp, GitHub, and GitLab can all become part of one controlled workflow.
We identify repetitive decisions, handoffs, and high-friction workflows where an agent can take a measurable business action.
Agents are grounded in your data, calibrated to your thresholds, and embedded into CRM, support, service, or internal systems.
Once live, we monitor outcomes, tune guardrails, and scale the agent only where the business case is proven.
70% less manual input; reps stay focused on closing deals, not updating fields.
Tekunda AI agents enrich leads, qualify opportunities, route to the right owner, and structure CRM updates from natural language and business context.
Faster release cycles, better documentation, and more engineering time spent building, not babysitting tooling.
Our engineering agents draft tests, review changes, prepare release notes, and clean up handoffs inside Jira, Notion, GitHub, GitLab, or Salesforce DevOps workflows.