AI Voice Bots for Enterprise Operations
Voice AI systems designed for scale, determinism, and measurable ROI, where latency, control, and UX are treated as first-class engineering problems.
What Makes deepsense.ai Voice Bots Different
Built for real call volumes
We design AI voice bots handling real telephony constraints and emotionally charged conversations. In one deployment, our system automated 500,000+ outbound calls annually across 170+ locations without increasing headcount or degrading CX.
Engineered for control,
latency, and compliance
Latency kills voice bots faster than bad models. That’s why we constrain LLMs, bypass them for short utterances, pre-generate audio, and design deterministic conversation flows. The result is predictable behavior, low response times, and consistent, compliant interactions.
Custom voice AI,
tailored to your operations
We build custom AI voice bot solutions integrated with your CX platform, telephony, CRMs, APIs, and knowledge systems, designed around your business processes, risk profile, and ROI targets. Models and platforms are interchangeable; production-grade engineering is not.
Official Partners
We’re proud to be official partners of AI leaders, giving us and our clients access to cutting-edge, state-of-the-art technologies and ensuring that we remain at the forefront of applied AI.
Where AI Voice Bots Deliver Real Value
Reactive Inbound Customer Support
Automate high-volume, low-complexity calls, without degrading customer experience
Contact centers are overwhelmed by repetitive inquiries. Skilled agents spend their time on status checks, FAQs, and basic troubleshooting, while customers wait, churn, or escalate emotionally.
The Problem We See in Production
- Long wait times resulting in declining CSAT/NPS despite continuous headcount growth
- Low first-call resolution even for simple, repetitive requests
- Rising cost per contact driven by Tier-1 workload
- Emotionally charged calls impacting agent effectiveness
- High agent attrition caused by monotonous, low-value work
High-Volume Use Cases We Automate
- Status and information calls: orders, deliveries, claims, balances, rescheduling
- Booking and scheduling: clinics, restaurants, hotels, services
- Account access and authentication: password resets, login issues
- Billing and payments: invoices, charges, payment questions
- Basic technical support and FAQs (e.g. connectivity, routers)
Business Outcomes
- Lower cost per contact without linear scaling of support teams
- Faster resolution and higher containment for simple issues
- Increased customer satisfaction
- Reduced agent burnout and improved retention
- More consistent, predictable, and brand-aligned customer experience
- Scalability of customer service, independent of the geography and language
Who This Is For
- VP / Head of Customer Service or Customer Operations
- Contact Center Directors and Managers
- Chief Customer Officers
- Heads of Digital or Omnichannel Experience
Proactive Outbound Voice AI
Scale sales, collections, and retention, without scaling teams
Outbound campaigns are expensive, inconsistent, and difficult to scale. Human agents reach only a fraction of leads per day, while compliance, quality, and timing vary widely.
The Problem We See in Production
- Low reach rates and limited real conversations per agent
- Large volumes of unqualified or low-intent leads consuming capacity
- Inconsistent scripts, disclosures, and compliance across teams
- High cost of routine, repeatable outbound campaigns
- Slow follow-up leading to missed revenue, churn, or bad debt
High-Volume Use Cases We Automate
- Outbound sales and cross-sell / upsell campaigns
- Lead qualification and appointment setting
- Payment reminders, dunning, and collections
- Proactive retention calls to at-risk customers
- Service, policy, or outage notifications requiring confirmation
Business Outcomes
- Higher lead coverage and faster follow-up at scale
- Improved conversion and recovery rates
- Consistent, compliant, and auditable messaging
- Human teams focused on complex, high-value conversations
Who This Is For
- VP / Head of Sales (inside sales, telesales)
- VP / Head of Collections or Credit Risk
- VP / Head of Retention or Loyalty
- Chief Revenue Officer / Chief Commercial Officer
Internal Voice Bots for Employees
Reduce internal service desk load and employee downtime
IT, HR, and operations desks are flooded with repetitive internal requests, slowing down resolution of more complex issues and hurting employee experience.
The Problem We See in Production
- High Tier-1 call volumes (passwords, access, FAQs)
- Long resolution times across the board
- Fragmented knowledge and manual lookups
- Frustrated employees and declining engagement
High-Volume Use Cases We Automate
- IT helpdesk: password resets, account unlocks, basic troubleshooting
- HR: policies, benefits, leave, payroll status
- Facilities and operations requests
- Standard access and approval workflows
Business Outcomes
- Lower cost per internal ticket
- Reduced downtime and increasedlost productivity
- Better employee experience at scale
- More capacity for strategic initiatives
Who This Is For
- CIO / Head of IT Operations
- CHRO / Head of HR Operations
- Heads of Shared Services or Facilities
- COOs managing large frontline workforces
Why Modern AI Voice Bots Work, and Why Constraints Matter
Modern AI voice bots are fundamentally different from rule-based IVRs. When built properly, they:
User’s speech
Transcribe user’s speech precisely even in a crowded, noisy environment
Intend understanding
Understand intent, not just keywords
Tools and APIs
Use tools and APIs in real time
Multiple knowledge sources
Retrieve answers from multiple knowledge sources
Human-quality speech
Deliver natural, stable, human-quality speech across accents, noise, and languages
In production, voice AI fails most often due to latency, lack of control, and poor voice UX. Fully unconstrained LLMs introduce unpredictability and risk, especially in customer-facing and regulated environments.
We enforce deliberate constraints where it matters most: determinism, compliance, and responsiveness.
Why Professional Services – Not a Plug-and-Play Product
Most failures we see come from treating voice AI as a product purchase rather than an engineering discipline.
What’s the most important in the context of OpenAI alone?
This is where ROI is made, or lost.
How We Deliver Voice AI Systems
A phased, production-oriented methodology
Prototype / Pilot
Clear success metrics (cost per call, containment rate, CSAT proxies)
Rapid validation with real users and real audio
Deterministic conversation flows
Productionization
System integrations
Latency optimization and error handling
Wording and speech quality improvements
Scale & Optimize
Monitoring and observability
Continuous improvement based on real transcripts
Cost, performance, and UX tuning
Typical timelines range from weeks for pilots to a few months for production-grade systems, depending on scope and integration complexity.
Client Success Stories
case-study
Cutting Response Time by 95% in Customer Service
The solution enables faster, guideline-compliant protocol creation, boosting researcher productivity and accelerating time-to-market for new therapies.
case-study
Structured LLM Automation for Tier 1 Support — Reducing Service Ticket Volume and Third-Party Costs
The solution cut Tier 1 ticket volume and reduced reliance on vendors, lowering support costs.
case-study
100% More Bookings: How AI Transformed Appointment Scheduling
The AI voicebot transformed an unstable product into a robust AI scheduling voicebot that responds 10x faster, uses 20x fewer tokens per…
What Our Clients Say About Us
“At Unstructured, we have been delighted to partner with deepsense.ai, a collaboration that has significantly accelerated the development across our Product Roadmap. Specializing in the complex domain of unstructured ETL for RAG, deepsense.ai has matched our technical intensity and contributed across various functional areas.”
Brian S. Raymond
Founder & CEO at Unstructured
“Sky partners with deepsense.ai on ML, predictive analytics, price elasticity, and AI consulting. In price elasticity modeling, deepsense.ai strengthened pricing strategy and RevOps through robust model design and optimization, delivering accurate, adaptable solutions with clear business impact.”
Kostis Manolitzas
Group Head of Data Science Innovation and AI at Sky
” Our collaboration shows how to apply cutting-edge AI in niche markets and industries where we seek a competitive advantage. We share efforts in our innovative approach, which differentiates us from peers and startups, embodying our belief that it’s better to disrupt ourselves than to be disrupted by the competition.”
Burkhard Boeckem
CTO at Hexagon AB
“One particular example where deepsense.ai’s expertise really stood out was their involvement in the development of our GenAI-powered frontline worker digital assistant. The solution integrated a diverse set of data sources, providing assistance to frontline employees with relevant responses in their moment of need.”
Tom Bianculli
CTO at Zebra Technologies
“deepsense.ai has been a dependable and high-quality partner to Brainly’s AI research, development, and operations efforts over the past 3 years. Their team has integrated seamlessly with our in-house teams, bringing top-tier talent and a collaborative spirit that drives innovation.”
Bill Salak
CTO & SVP Operations at Brainly
“We engaged deepsense.ai for an AI Advisory engagement with the aim of reviewing and enhancing our AI capabilities and practices. deepsense.ai was adept at identifying practical quick-win improvements in our AI operations, providing guidance for our long-term investment priorities in the AI domain and ensuring a thorough transfer of knowledge to our internal AI team throughout the engagement.”
Mariusz Gralewski
CEO at DocPlanner
“We have successfully partnered with deepsense.ai on multiple R&D projects. The deepsense.ai team was able to effectively partner and work hand-in-hand with our development team, complementing our domain knowledge with deep expertise in AI/ML and predictive analytics.”
Ned Taleb
Co-Founder & CEO at B-Yond
“deepsense.ai quickly delivered a Proof of Concept for a code completion tool, using a state-of-the-art technological stack, including the newest available LLMs and libraries. They also led an excellent LLM discovery workshop that jump-started AdaCore’s integration of LLM solutions into our business processes and products.”
M. Anthony Aiello
Head of Product & Innovation at AdaCore
“The deepsense.ai solution for anomaly detection helped expedite the problem detection times and decreased the number of monitoring failures. We were also impressed by their team’s technical know-how and solution-based mindset.”
Nitin Navare
CTO at LogicMonitor
“Over a three-year period, deepsense.ai has augmented our internal capabilities with a dedicated team of consultants, helping us enhance our MLOps Platform. Their involvement from early ideation and design phases through to the entire software development cycle has ensured a high standard of engineering maturity and adherence to industry best practices.”
Carsten Ingerslev
Head of Advanced Analytics
at Danish Business Authority
“We engaged deepsense.ai to improve some of the functionalities of our AI-driven transportation management platform in terms of Estimated Time of Arrival (ETA) and On-time Probability (OTP). The ease of collaboration with deepsense.ai’s team and their adaptability to our feedback and ideas made the entire development process seamless and productive.”
Paul Beavers
CTO (2020-2023) at a transportation management platform provider
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