01
Step 1Discover
Understand the workflow, users, data, risks and measurable outcomes.
AI Solutions
Claude AI Solutions
Design and integrate Claude-powered assistants and workflows around your business needs.
Common Challenges
- Teams want to use AI but need to identify safe, useful business applications first
- Manual knowledge and document workflows take time and are difficult to scale
- AI pilots can lack clear evaluation, access boundaries and human review
- Connecting AI to internal tools and data requires deliberate security and integration design
How Enduraq Technologies Helps
- Claude-powered assistants and agents for agreed business workflows
- Claude API integration with compatible applications and internal tools
- Model Context Protocol (MCP) integrations where supported and appropriate
- Structured outputs and document or data extraction pipelines
- Claude Code setup and developer workflow guidance
- Guardrails, context management, evaluations and human-in-the-loop design
- AI architecture reviews and solution design
Scope
What we plan and deliver as part of the engagement.
- Discovery of business goals, users, workflows, data sources and success criteria
- Review of Claude product, API and integration requirements for the use case
- Solution architecture covering model access, application flow and approved data boundaries
- Assistant, agent or API workflow implementation for an agreed pilot
- MCP server and tool connection design where compatible with the chosen Claude client
- Structured output validation, testing and quality evaluation
- Safety controls, human review, monitoring and failure-handling design
- Documentation and handover for the agreed solution
Our Delivery Approach
Implementation Plan
A clear, phased delivery path tailored to your environment and requirements.
02
Step 2Design
Define the Claude architecture, integrations, access boundaries and review controls.
03
Step 3Pilot
Build a limited solution and test it against representative tasks and data.
04
Step 4Evaluate
Review output quality, safety, failure cases and user feedback against agreed criteria.
05
Step 5Handover
Document the solution, operating guidance and next steps for an approved rollout.
Project Deliverables
The documentation and validation outputs your team receives during handover.
01
Use-case and requirements summary
02
AI solution architecture
03
Configured proof of concept or pilot
04
Evaluation and guardrail guidance
05
Technical handover documentation
Technology Stack
ClaudeAnthropic APIModel Context Protocol (MCP)Claude CodeApplication integrations
Expected Outcomes
- A clearly scoped AI use case aligned with business needs
- A tested pilot with documented limitations and evaluation criteria
- More controlled connections between Claude, approved tools and data
- Human review and operational guidance appropriate to the workflow
Frequently Asked Questions
Do you provide certified Claude architecture?
We provide AI solution discovery, design and implementation support. We do not claim Anthropic or Claude certification unless a specific, verifiable credential is agreed and documented.
Can Claude connect to our internal tools and data?
Potentially, depending on the application, integration method, access controls and your chosen Claude product. We assess the required permissions, data handling and technical compatibility before proposing an integration.
Will AI-generated results be accurate every time?
No. Model outputs can be incomplete or incorrect. We define evaluation and human-review steps for the use case and do not recommend relying on generated outputs without appropriate validation.
Are Anthropic subscriptions, API usage and hosting included?
Third-party subscriptions, API usage, hosting and related provider charges are separate unless a written proposal explicitly includes them.
Related Services
Explore a practical Claude AI use case
Start with a focused conversation about your workflow, data requirements and safeguards before deciding whether an AI pilot is right for you.