Turn Technology and AI into Business Impact
Design and integrate practical GenAI and LLM solutions for knowledge-intensive work, automation and decision support.
What Is Generative AI & LLM Solutions?
Business Challenges We Address
- Teams have GenAI ideas but no clear enterprise use case or workflow fit.
- Required knowledge and data are fragmented across systems or documents.
- LLM outputs need evaluation for relevance, reliability and business suitability.
- Security, privacy and access requirements must be considered before connecting enterprise information.
- Human review and escalation points need to be designed into higher-impact workflows.
Our Capabilities
Six connected capabilities that align strategy, technology, processes and people.
01
GenAI Use-Case Design
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02
Enterprise Knowledge Assistance
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03
Workflow Automation
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04
Decision Support
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05
LLM Integration
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06
Evaluation & Human Oversight
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07
Security & Privacy Considerations
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Practical Use Cases
USE CASE 01
Enterprise knowledge assistant
Help employees find and synthesize approved information from distributed
knowledge sources while respecting access controls.
USE CASE 02
Document-intensive workflow support
Use GenAI to summarize, classify or draft information within a business workflow, with defined human review before downstream action.
USE CASE 03
Application-embedded AI assistant
Integrate an LLM capability into an enterprise application to assist users with contextual information or guided tasks.
What We Deliver
- GenAI use-case definition and workflow map
- Data and knowledge-source requirements
- Solution and integration design
- Prompt/task design and guardrail requirements
- Evaluation criteria and test plan
- Human-review and exception workflow
- Pilot implementation plan
Expected Business Outcomes
- Faster access to relevant enterprise information
- Reduced manual effort in selected language-intensive tasks
- More consistent support for users within digital workflows
- Clearer evaluation and human-review requirements before scale
- A practical integration path between GenAI and enterprise systems
How Intelecox Delivers
01
Select
Choose a bounded use case with clear users, inputs and intended outcomes.
02
Ready
Assess data, knowledge sources, access, privacy, security and integration requirements.
03
Design
Define architecture, workflow, prompts or tasks, controls and human oversight.
04
Evaluate
Test quality, relevance, reliability and failure scenarios against agreed criteria.
05
Integrate & Improve
Connect the solution to enterprise systems and refine it using controlled feedback.
Why Intelecox
Shared-Services Capability
Documented capability across IT, Finance & Accounting, QA, healthcare and payment processing, as well as finance, HR, IT and procurement functions.
Technology-Enabled Improvement
Process improvement can draw on Intelecox capabilities across applications, APIs, enterprise platforms, data and automation.
Flexible Delivery Options
Delivery options include offshore and nearshore models, dedicated centers and managed-capacity approaches where appropriate.
Continuous Optimization
Continuous improvement and process optimization are represented in Intelecox’s documented shared-services and delivery methodology.
Build the wider GenAI foundation
Connect strategy, engineering, integration, process redesign and data capabilities around the chosen use case.
Build an Organization Ready for Continuous Change
Strengthen delivery, enable people and embed improvement throughout transformation.