Implement Claude in High-value Enterprise Workflows
We help organizations identify, design, build and operationalize Claude-powered systems – from agentic workflows and enterprise knowledge solutions to code modernization and production AI infrastructure.
From High-value Use Case to Production Claude System
High-Value Use Cases
Identify and implement Claude opportunities tied to measurable business outcomes—including operational throughput, decision quality, cost reduction, risk control and product differentiation.
Secure MCP and Enterprise Integration
Connect Claude to enterprise data, applications and tools through governed MCP integrations—with appropriate access controls, observability and auditability built into the architecture.
Production Delivery, Not Just Prototypes
Move from a qualified use case to an operational system through workflow design, architecture, engineering, evaluation, integration and production deployment.
Embedded Delivery and Capability Transfer
Work with a senior team that collaborates directly with your business, product and engineering leaders—while transferring the architecture, practices and knowledge required for internal ownership.
Claude Solutions for Business-Critical Workflows
Claude Jumpstart: From Use Case to Production Plan
The fastest way to start with Anthropic’s Claude in your organization is with the deepsense.ai Jumpstart Package — a structured path from idea to working prototype.
What’s included:
- Discovery Workshop — identify and prioritize high-impact, technically feasible use cases.
- 80 Hours of Engineering — transform selected concepts into functional prototypes powered by Claude.
- Expert Guidance — ensure architectural soundness, security, and compliance from day one.
Secure MCP and Enterprise Integration
Give Claude governed access to the proprietary data, systems and tools required to support real enterprise workflows.
Enterprise Data and Tool Access
Connect Claude to internal databases, knowledge repositories, APIs, CRMs and operational platforms while preserving existing access rules and system ownership.
Multi-Tenant Product Integrations
Build Claude-powered products in which each customer or business unit receives controlled, isolated access to its own data, applications and tools.
Regulated and Controlled Environments
Implement Claude-based workflows around applicable data handling, privacy, access-control, auditability and human-oversight requirements.
Agentic AI Systems
We design and implement Claude-powered agents for workflows where automation has measurable value and actions can be governed.
Software Engineering Workflows
Use Claude to support codebase understanding, issue analysis, implementation, testing, documentation and controlled change across complex software environments.
Research, Evidence and Analysis
Accelerate research-intensive work by gathering, comparing and synthesizing information from approved internal and external sources—with evidence, traceability and structured outputs.
Complex Operations and Case Management
Support multi-step workflows such as case intake, validation, document preparation, review, approvals, exception handling and reporting. Agents operate within defined permissions and escalation rules, reducing manual coordination without removing necessary human accountability.
Enterprise Knowledge Systems and AI Assistants
We build Claude-powered knowledge systems that provide reliable, source-backed and permission-aware access to enterprise information.
Customer and Service Operations
Help service teams resolve complex requests faster with responses grounded in approved company knowledge and integrated with CRM, ticketing and escalation workflows.
Internal Expertise and Knowledge Access
Give employees direct access to policies, processes, technical knowledge and institutional expertise—while respecting role-based permissions and source ownership.
Technical, Scientific and Regulated Content
Support the analysis, preparation and review of complex documentation where accuracy, source traceability, terminology and human approval are essential.
Enterprise Code Modernization with Claude Code
Combine Claude Code with senior software engineering to accelerate the analysis and modernization of complex codebases while preserving business logic, security requirements and production quality.
Codebase Understanding and Refactoring
Analyze large or unfamiliar codebases, identify dependencies and technical debt, and support controlled refactoring with appropriate review and testing.
Legacy System Migration
Accelerate migration to modern languages, frameworks and cloud environments while validating functional equivalence, integration requirements and business-critical behavior.
Quality, Security and Dependency Modernization
Identify outdated dependencies, vulnerabilities, missing tests and architectural risks—and implement prioritized improvements within the client’s engineering controls.
Impact
Faster modernization, reduced technical debt and greater engineering throughput—with human review and production-grade validation.
Why deepsense.ai for Anthropic Implementations
As an official Anthropic Service Partner, deepsense.ai combines platform expertise with the business, product and engineering capabilities required to implement Claude in complex enterprise environments.
What’s Most Important in the Context of Anthropic?
Selected after rigorous evaluation by Anthropic
Direct collaboration with Anthropic technical and partner teams
Early access to Claude capabilities and enterprise features
Strategic deployment partner supporting Claude across enterprise use cases
Client Success Stories
AI Agents, AI Assistants, RAG
case-study
Cutting Search Time, Streamlining Ops, and Scaling Expertise with GenAI by deepsense.ai x OpenAI for Fennemore
We developed a hybrid GenAI solution powered by ChatGPT Enterprise and the OpenAI API, integrating data from SQL with unstructured content in SharePoint.
project
GenAI-Powered Frontline Worker Assistant
It was presented at a major retail conference in New York in 2024, demonstrating the potential of LLM applications to their customers. As a result, a pilot rollout was planned…
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…
project
Boosting RAG Retrieval Recall by 56.4% for Telecom Support Tickets
Our enhancements achieved a 56.4% improvement in RAG retrieval recall, enabling the client to confidently showcase the system’s capabilities to the telecom company.
project
AI Agent PoC for Automating Data Management
This PoC aimed to automate as many scenarios as possible within the HR system, reducing user friction and improving efficiency.
Code and Content Generation
case-study
AI-Driven Report Generation – Boosting Efficiency with 98% Recall
The system boosted report generation efficiency, achieving 98% recall in retrieving insights. It provides structured recommendations, auto-generates report entries, and reduces manual…
project
AI Copilot’s Impact on Productivity in Revolutionizing Ada Language Development
This tool significantly reduced manual coding time, enabling developers to focus on higher-value tasks.
project
AI-Powered Content Quality Transformation
The AI system automated content moderation, optimized workflows, and generated high-quality data for future models, driving client’s sustained growth and…
Discovery Workshops
project
Structuring AI Projects and Understanding LLMs through Targeted Workshops
The workshop equipped AdaCore with a stronger understandingof LLM technologies and structured AI project planning.
project
Exploring LLM Agents for Innovation with Tailored LLM Workshops
The workshop generated 6 actionable use cases, providing the R&D team with a solid understanding and enabling them to explore new AI…
project
LLM Workshop for a Global Corporation
The workshop offered business-focused sessions on LLM opportunities and technical deep dives for engineers.
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 across a wide range of topics, including an ML model development, predictive analytics, credit risk, 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
An AI Implementation Partner Built for Complex Delivery
deepsense.ai combines senior AI engineering, product and workflow design, production architecture and embedded collaboration to deliver systems that organizations can deploy, operate and scale.
commercial AI projects
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Join our established list of long-term satisfied clients, including global brands, tech enterprises, ambitious scaleups and startups. Whether you’re rapidly scaling with AI or making it the core of your business, partner with us to achieve exceptional results.
