More first-contact resolution
Customers get answers and approved actions in one conversation instead of a transfer, callback, or disconnected self-service path.
Turning Voice Conversations into Resolved Outcomes
Our team has spent years learning from 250 million real interactions—studying how customers communicate, what frustrates them, when they disengage, and what makes support teams most effective. rundesk360 puts that learning to work through agentic co-workers that resolve inquiries, account needs, billing questions, orders, and cases while your people focus on situations that require human judgment.
Most voice AI is the same pipeline with a different logo. rundesk360 is different at the foundation—and every difference shows up in resolution quality.
rundesk360 works directly on voice, preserving tone, hesitation, urgency, and frustration so it can clarify uncertainty and recover a difficult interaction before it becomes an escalation.
A coordinated crew handles identity, accounts, orders, billing, cases, recovery, and human handoff. Each specialist has one job and only the system access it needs.
Every interaction reveals what resolved, what stalled, and why. Proven improvements are tested safely and folded into playbooks shaped by your products, policies, customers, and service standards.
Answers often sit apart from account access, transactions, case ownership, and human judgment. The result is another transfer, another contact, or another task waiting for the support team.
Customers get answers and approved actions in one conversation instead of a transfer, callback, or disconnected self-service path.
Account, billing, order, and case work is completed in the systems your teams already use—not left as a transcript or summary.
Support teams spend less time on repetitive coordination and more time on exceptions, recovery, and relationships that need a person.
One continuous interaction can span approved knowledge, customer records, transactions, cases, and human teams without losing context.
Answer product, policy, and service questions from an approved knowledge base while preserving conversational context.
Verify the customer, retrieve the right profile, and complete authorized account updates in connected systems.
Explain charges, review account context, take approved actions, or escalate with the full history attached.
Check status, update delivery details, handle eligible changes, and create follow-up work when needed.
Create, update, route, and close help-desk cases with structured reasons, commitments, and next steps.
Bring in a specialist or human agent without forcing the customer to repeat what they already explained.
Recognize the customer’s intent, urgency, sentiment, and preferred outcome.
Confirm identity and permissions before accessing account, order, case, or billing data.
Use focused agents to search knowledge, CRM, help desk, order management, and billing systems.
Confirm consequential changes and complete approved work in the system of record.
Record the result, reason, commitments, and any follow-up or context-rich escalation.
Explore how the same governed progression adapts to different customers, systems, and operational stakes.
From a service inquiry to a qualified next step. Watch how the platform manages HVAC intake, verifies safety, discusses terms, and coordinates scheduling.
A natural report. A coordinated facilities response. Watch how the platform assesses urgency, alerts duty managers, and ensures accountability.
Each capability answers a requirement in the resolution journey—from understanding the customer to acting safely and making the result visible.
Hears urgency, hesitation, frustration, and changing intent so the workflow can adapt before the interaction breaks down.
Focused agents coordinate identity, knowledge, billing, orders, cases, and handoff without making the customer start over.
Permissions, policy checks, read-backs, and confirmations control what can be changed in customer and support systems.
Every interaction closes with a result, reason, commitment, open item, and next step that operations can measure.
A guided look at the platform: natural voice, specialized agents, safe actions, and measurable results.
Complementary perspectives — voice at scale, enterprise operations, and customer impact — building one platform together.

Vinay led speech products for the Indian market at Microsoft, including the first ASR and TTS models for Indian languages and Azure Speech deployment for Jio, India’s leading telecom provider. That foundation gives him firsthand expertise in the realities that determine whether voice AI works at scale. At Rajneethi, a reputed premium political consulting brand operating in multiple countries, he took a services firm to 90% software revenue and 80× growth in five years, with recent work focused on agents that act—not simply models that talk.

Sawad Thotathil, MD, MS, MHM, is a technology founder and experienced operator who transforms complex operational problems into scalable products and businesses. His background spans enterprise technology, AI-enabled service, entrepreneurship, and scaling programs across technology implementations and operations.

Anit is a global tech executive with over 30 years of experience scaling high-growth businesses. His leadership background includes serving as Managing Director at Slalom, founding PwC’s Salesforce Pharma and Life Sciences practice, and overseeing professional services as a Regional Director at Salesforce.