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Hexagon is reshaping industries through smarter systems, streamlined workflows, and bold digital innovation.
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Use Artificial Intelligence Where It Can Improve a Real Workflow, Decision, or Digital Product.
Hexagon helps organizations identify suitable AI opportunities, govern active initiatives, build custom AI applications, integrate approved AI capabilities into existing software, and establish the evaluation and operational controls required after launch.
- Business-first discovery
- Clear AI pathway
- Evaluation before scale
- Human and operational ownership
Founded in 2007
U.S.-Led Discovery
Global Engineering
300+ Software Projects
Is an AI Opportunity Assessment the Right Starting Point?
Good AI Candidates
Repeated knowledge or document work with enough examples and review
Search and assistance across approved organizational information
Classification, extraction, summarization, comparison, or recommendation
Forecasting, anomaly detection, or decision support with measurable evidence
Visual inspection or media analysis with representative data
Workflow assistance where human approval and system controls remain clear
Poor or Premature Candidates
No business owner, user, workflow, or measurable problem
Unavailable, unreliable, or unauthorized data
A deterministic rule or standard automation would be simpler
No way to evaluate quality or manage incorrect outputs
High-impact decisions without appropriate oversight and governance
An expectation of guaranteed ROI, zero errors, or permanent model behavior
Choose the AI Service Path That Matches Your Current Readiness
Assessment & Strategy
Use when the organization has AI interest or ideas but needs workflow discovery, feasibility, data review, prioritization, risk considerations, and a roadmap.
AI Transformation Framework
Use when leadership needs to understand how assessment, advisory, custom build, governance, and scale connect.
90-Day AI Consulting Program
Use when active pilots, vendors, or internal initiatives need recurring decisions, governance, evaluation planning, architecture review, and delivery oversight.
Custom AI Applications
Use when an approved use case is ready for dedicated design, development, integration, evaluation, deployment, and improvement.
AI Capabilities Applied to Real Business Work
Knowledge Assistants & Enterprise Search
Document Intelligence
Extract, classify, validate, summarize, compare, route, and review information from invoices, forms, contracts, claims, reports, records, and other documents.
AI-Enabled Workflow Assistance
Support drafting, research, data entry, next actions, task coordination, approved tool use, and human-reviewed system updates.
Predictive & Decision-Support Systems
Use data to produce forecasts, scores, anomaly signals, recommendations, and planning support with documented evaluation and decision ownership.
Computer Vision & Media Intelligence
Analyze approved images, video, scans, or visual records for detection, classification, inspection, search, and workflow support.
AI Integration & Operational Improvement
Add approved AI capabilities to CRM, ERP, portals, SaaS products, websites, mobile applications, automation, reporting, and other business software.
Not Every Improvement Requires Artificial Intelligence
| Problem | Best Fit | Typical Approach |
|---|---|---|
 The business rule is stable, explicit, and repeatable. | BUSINESS PROCESS AUTOMATION | Workflow rules, approvals, routing, integrations, notifications, documents, and deterministic validation. |
| Leaders need reliable historical, operational, or financial visibility. | DATA ANALYTICS | Data integration, models, dashboards, metrics, reporting, and governed analysis. |
| The task involves language, documents, patterns, prediction, recommendations, or visual information. | ARTIFICIAL INTELLIGENCE | Appropriate models, retrieval, evaluation, human oversight, security, integration, and monitoring. |
| The workflow combines deterministic steps with AI-assisted interpretation. | AI-ENABLED AUTOMATION | Rules and system workflows around a bounded AI capability with approval, exception, and audit controls. |
A Useful AI Capability Must Work Inside a Complete Business Environment
Data, Knowledge & Ai
Approved data
Documents
Retrieval
Search
Models
Vendor services
Structured outputs
Feedback
Users & Tasks
- Employees
- Customers
- Managers
- Analysts
- Advisors
- Operators
- Partners
- Web
- Mobile
Workflow & Application
Business rules
Forms
Cases
Approvals
Notifications
Review
Administration
Integrations
Evaluation & Operations
Test cases
Quality
Human oversight
Permissions
Monitoring
Cost
Incidents
Versioning
Ownership
Proof in Practice: Orriant’s Connected Wellness Technology Environment
CW
Connected Wellness
WHAT THIS PROOF SUPPORTS
AI-platform integration
Custom application development
Scheduling APIs
CRM and survey integration
Long-term systems partnership
CLIENT CONTEXT
Orriant operates proprietary wellness platforms and mobile applications supporting coaching, health programs, records, communication, and reporting.
AI-RELATED SCOPE
Orriant’s public testimonial states that Hexagon built several APIs with AI and scheduling platforms alongside CRM and survey integrations.
IMPORTANT
This proof supports AI-platform integration within a broader application ecosystem. It does not prove proprietary model development, model accuracy, or guaranteed business ROI."
From AI Opportunity to Operated Capability
1
Identify the Workflow and Decision
Define user, task, business owner, current process, constraints, value hypothesis, and why AI may be appropriate.
2
Review Data, Feasibility and Risk
Assess sources, permissions, quality, integration, model or vendor options, human oversight, evaluation, and governance needs.
3
Select the Right Path
Choose assessment, consulting, configuration, integration, extension, custom build, or no further AI investment.
4
Prototype and Evaluate
Test the critical task, data path, output quality, user review, cost, latency, failure behavior, and operational feasibility.
5
Build or Integrate
Develop the application and workflow, connect systems, implement controls, and prepare administration, testing, and documentation.
6
Release, Monitor and Improve
Validate production, monitor quality and use, manage incidents and change, review cost, and improve or retire the capability based on evidence."
AI Governance Begins Before the Model Is Selected
Context and Ownership
Define the user, task, business owner, decision impact, approved use, escalation, and operational responsibility.
Data and Permission Boundaries
Clarify approved data, access, sensitivity, retention, retrieval filters, vendor settings, environment separation, and ownership.
Evaluation and Human Oversight
Define task-specific evidence, review, approval, correction, override, exceptions, and release criteria.
Operability and Change
Plan monitoring, incidents, model or vendor changes, prompt and retrieval updates, cost, versioning, documentation, and support.
Use the NIST AI Risk Management Framework and relevant OWASP GenAI guidance where appropriate. Hexagon should not be presented as a certifying authority.
How AI Engagements Are Scoped
Opportunity Assessment
Best for identifying and prioritizing suitable AI use cases before committing to build.
Advisory and Portfolio Governance
Best for organizations with active initiatives requiring recurring decisions, evaluation, governance, architecture, and oversight.
Focused AI Feature or Integration
Best for adding a bounded assistant, document workflow, search, prediction, or other AI capability to existing software.
Custom AI Application or Platform
Best for a complete workflow or product requiring dedicated UX, data, retrieval, models, integrations, evaluation, administration, deployment, and operations.
Recognized for Technology Innovation and Delivery Excellence
Hexagon IT Solutions has earned positive client ratings and recognition from independent technology and business publications for custom software development, digital transformation, innovation, and technology delivery.
4.9/5 Client Rating
DesignRush
Best Digital Transformation Consultancy
Corporate Vision · 2025 Winner
Innovation Excellence Awards
CIO Bulletin · 2024
Recognized in 2026 Technology Rankings
Software Development & IT Services
Founded in 2007, Hexagon combines U.S.-led discovery with global engineering and delivery capabilities to help organizations modernize operations through custom technology solutions.
How AI Development Engagements Are Scoped
Opportunity Assessment
Best for identifying and prioritizing suitable AI use cases before committing to build.
Advisory and Portfolio Governance
Best for organizations with active initiatives requiring recurring decisions, evaluation, governance, architecture, and oversight.
Focused AI Feature or Integration
Best for adding a bounded assistant, document workflow, search, prediction, or other AI capability to existing software.
Artificial Intelligence Service Questions
Hexagon provides AI opportunity assessment, consulting, custom AI application development, AI integration, document intelligence, knowledge assistants, workflow copilots, predictive and decision-support systems, computer vision, evaluation, and operational-improvement services.
A suitable workflow normally has a clear user and owner, representative data or knowledge, a task that benefits from interpretation or pattern recognition, measurable quality criteria, and an acceptable approach to human review and operational risk.
Traditional automation follows explicit rules. AI automation uses a model to interpret language, documents, images, patterns, or uncertain information within a controlled workflow. Many effective solutions combine deterministic automation with a bounded AI step.
Yes. Hexagon can develop assistants, enterprise search, document workflows, drafting and research tools, workflow copilots, and other generative-AI applications where the use case, data, evaluation, permissions, human oversight, and operational controls are appropriate.
Yes. AI capabilities can be integrated through approved APIs, data services, retrieval, workflow changes, user interfaces, and monitoring while respecting permissions, data ownership, system reliability, and operational responsibility.
No. AI performance and business outcomes depend on the task, data, model, implementation, users, controls, jurisdiction, and operating environment. Hexagon helps define evaluation, evidence, risk, governance, and acceptance criteria.
Use Assessment & Strategy for opportunity discovery, the AI Transformation Framework for pathway guidance, the 90-Day AI Consulting Program for active portfolio governance, and Custom AI Applications for approved production delivery.
Reviewed by Daks J.
Founder & CEO, Hexagon IT Solutions
Daks founded Hexagon IT Solutions in 2007 and leads business discovery and solution planning for CRM, ERP, custom software, APIs, integrations, payments, AI, content platforms, and industry software engagements. He works with clients to connect operational requirements, technology decisions, and long-term delivery planning.
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Share the users, workflow, data, existing tools, current experiments, business owner, evaluation concerns, and next decision. Hexagon will recommend the appropriate assessment, advisory, integration, custom-build, or non-AI path.
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