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Innovative tools and services designed to address complex challenges today’s digital landscape.
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Hexagon is reshaping industries through smarter systems, streamlined workflows, and bold digital innovation.
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Hexagon is reshaping industries through smarter systems, streamlined workflows, and bold digital innovation.
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Build AI Into a Workflow or Product People Can Actually Use.
Hexagon designs and develops AI-enabled applications for approved business workflows and digital products. We connect the user experience, business logic, data, retrieval, models, integrations, evaluation, human oversight, security, observability, and operational ownership required to move beyond a demonstration.
- Use-case and product discovery
- Model and vendor flexibility
- Evaluation before release
- Monitored production operation
Founded in 2007
U.S.-Led Discovery
Global Engineering
300+ Software Projects
An AI Demonstration Is Not a Production Application.
A model can produce an impressive answer in a test while the real workflow still lacks trusted data, permissions, integrations, evaluation, user review, cost control, monitoring, support, and clear responsibility when the output is wrong.
Hexagon treats the AI capability as one part of a complete software product. The engagement defines the users, task, workflow, data, system boundaries, model or vendor options, quality criteria, human oversight, security, deployment, and operational ownership."
Should the AI Capability Be Configured, Integrated, Extended, or Built?
| Situation | Recommended Path | Typical Deliverable |
|---|---|---|
 A trusted product already supports the workflow, data, controls, and user experience required. | CONFIGURE | Product setup, permissions, prompts or rules, approved data access, testing, governance, training, and monitoring. |
| An existing application needs an AI capability from an approved model, vendor, search, document, or analytics service. | INTEGRATE | Application integration, data flow, authentication, retrieval, evaluation, user experience, logging, and support. |
| An existing AI tool or pilot is valuable but requires workflow, data, security, integration, evaluation, or operational improvements. | EXTEND | Gap assessment, architecture changes, new workflows, guardrails, monitoring, administration, and release plan. |
| The approved use case requires a unique workflow, product experience, data model, commercial model, or operational control. | BUILD | Custom AI application, integrations, evaluation, administration, deployment, documentation, and improvement roadmap. |
Six Types of AI Applications Hexagon Can Design and Build
Knowledge Assistants & Enterprise Search
Create secure assistants that retrieve approved organizational knowledge, cite sources, respect permissions, support follow-up questions, and fit employee or customer workflows.
Document Intelligence & Case Workflows
Extract, classify, summarize, compare, validate, route, review, and act on information from forms, invoices, contracts, claims, records, reports, and other documents.
Workflow Copilots & Agent-Assisted Operations
Assist users with drafting, research, data entry, next actions, system updates, task coordination, and approved tool use while keeping human review and operational controls.
Predictive & Decision-Support Applications
Use historical and current data to produce forecasts, scores, recommendations, anomaly signals, or planning support with documented evaluation and human decision ownership.
Computer Vision & Media Intelligence
Analyze approved images, video, scans, or visual records for detection, classification, inspection, search, workflow support, and human review.
AI-Enabled Customer and Digital Products
Build AI capabilities into portals, SaaS products, mobile applications, customer support, personalization, content, and other approved digital experiences.
What a Production AI Application Requires Beyond the Model
Data, Retrieval & Models
Approved data
Documents
Search
Embeddings
Retrieval
Models
Vendor APIs
Structured outputs
Users & Experience
- Roles
- Tasks
- Web
- Mobile
- Chat
- Forms
- Review screens
- Administration
- Feedback
Application & Workflow
Business rules
Orchestration
Tools
Approvals
Notifications
State
Exceptions
Integrations
Evaluation, Security & Operations
Test sets
Quality metrics
Human review
Permissions
Logging
Cost
Latency
Monitoring
Incidents
Versioning
Where Custom AI Applications Fit Within Hexagon’s Services
Artificial Intelligence Services
Broad overview of AI development, automation, assistants, analytics, computer vision, integration, and industry use cases.
Assessment & Strategy
Short discovery and prioritization for organizations that are not ready to approve a build.
90-Day AI Consulting Program
Recurring portfolio governance, decisions, evaluation planning, architecture guidance, and delivery oversight.
Business Process Automation
Deterministic workflow automation, integration, routing, approvals, documents, and monitoring that may or may not require AI.
Proof in Practice: Orriant’s Connected Digital Platform Environment
DP
Connected Digital Platform
WHAT THIS PROOF SUPPORTS
Custom application development
AI-platform integration
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.
THE AI-RELATED INTEGRATION SCOPE
Orriant’s public testimonial states that Hexagon built several APIs with scheduling and AI platforms and integrated survey and CRM systems within its wider custom application environment.
IMPORTANT
This proof supports AI-platform integration within a custom application ecosystem. Do not use it to claim proprietary model development, guaranteed AI performance, or a specific business ROI."
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.
From Approved Use Case to Monitored Production AI Application
1
Product, Workflow & Risk Discovery
Define users, task, workflow, business owner, data, systems, model or vendor options, human oversight, risk, and measurable acceptance criteria.
2
Prototype & Feasibility Validation
Test the critical user journey, data path, retrieval, model behavior, integration constraints, evaluation approach, cost, and latency before full build.
3
Architecture & Release Scope
Define application services, data boundaries, models, integrations, identity, environments, observability, administration, security, and the first production release.
4
Application Development & Integration
Build the user experience, workflow, orchestration, retrieval, model interactions, tools, integrations, administration, and logging.
5
Evaluation, Security & User Validation
Run functional tests, curated evaluation, failure cases, permissions, data protection, prompt and retrieval attacks where relevant, human review, performance, and business acceptance.
6
Deployment & Operational Readiness
Release through a controlled process, validate production behavior, establish monitoring, support, incidents, cost controls, documentation, and ownership.
7
Observe, Improve & Govern
Review quality, feedback, usage, cost, failures, data and model changes, vendor updates, risk, and the prioritized improvement roadmap."
Define Quality and Human Oversight Before the Application Reaches Production
Evaluation Areas
- Task success
- Factual support
- Structured-output validity
- Retrieval relevance
- Error and refusal behavior
- Safety
- Bias considerations
- Latency
- Reliability
- Cost
- User acceptance
Human Oversight
Define which outputs are advisory, which actions require approval, who reviews exceptions, how users correct the system, and when the workflow must escalate.
Test Evidence
Use representative test cases, known-answer examples, edge cases, adversarial or abuse cases where relevant, integration failures, and user validation.
Release Decision
Production release requires agreed functional, evaluation, security, operational, and user-acceptance criteria. No model is described as accurate or safe without defined evidence and context.
Built Around Data Boundaries, AI-Specific Security, Monitoring, and Change
Data & Permission Boundaries
Define approved sources, user permissions, sensitive data, retrieval filters, retention, training restrictions, environment separation, and data ownership.
AI Application Security
Address authentication, authorization, prompt and input handling, output handling, tool permissions, secrets, dependency risks, abuse cases, and relevant OWASP GenAI guidance.
Observability & Cost Control
Monitor usage, quality signals, failures, latency, model and vendor errors, retrieval behavior, token or service cost, alerts, incidents, and operational ownership.
Model, Prompt & Knowledge Change
Version prompts, retrieval, tools, evaluation sets, models, vendors, and application releases. Re-evaluate material changes before expanding production use.
What Is Included in a Custom AI Application Engagement?
Core Delivery
- Approved product scope
- UX and workflow
- Application development
- Data and retrieval integration
- Model or vendor integration
- Business-system integration
- Evaluation
- Administration
- Deployment
- Documentation
Conditional Based on Scope
- Data cleanup or labeling
- Custom model training
- Mobile application
- Multi-tenant SaaS
- Advanced analytics
- Human review operation
- Independent security testing
- Managed AI operations
- Cloud or model migration
Client or Vendor Dependencies
- Business owner and subject experts
- Approved data access
- Legal and policy decisions
- Model, cloud, vendor, or dataset licenses
- Existing-system access
- User validation
- Operating ownership
Not Guaranteed
- Specific ROI
- Universal accuracy
- Zero hallucinations
- Regulatory certification
- Permanent model behavior
- Vendor availability
- Unlimited usage or support
How Custom AI Application Engagements Are Scoped
Focused AI Feature or Integration
Best for adding an assistant, document workflow, search, classification, summarization, extraction, or decision-support capability to an existing application.
Custom AI-Enabled Business Application
Best for a complete internal or customer workflow requiring dedicated UX, data, retrieval, AI behavior, integrations, administration, evaluation, and deployment.
AI Product or Multi-Tenant Platform
Best for a commercial product serving multiple customers, organizations, user roles, knowledge sources, workflows, usage models, administration, and release stages.
Custom AI Application Questions
What is a custom AI application?A custom AI application is software designed around a specific user, workflow, data, and business need that uses AI capabilities such as language models, retrieval, prediction, classification, document intelligence, computer vision, or approved tool use.
Do you build AI models from scratch?Most business applications use suitable existing models, vendors, open models, or specialized services and focus custom work on the application, workflow, data, retrieval, integrations, evaluation, and controls. Custom training or fine-tuning is considered only when the use case and evidence justify it.
Can AI be integrated into an existing CRM, ERP, portal, or application?Yes. Hexagon can add approved AI capabilities to existing software through APIs, data services, retrieval, workflow changes, user interfaces, and monitoring. The integration must respect permissions, data ownership, system reliability, and operational responsibility.
How do you evaluate an AI application?Evaluation is defined around the task and may include known-answer tests, retrieval relevance, factual support, structured-output validity, failure behavior, human review, safety, latency, reliability, cost, user acceptance, and business-process evidence.
How do you protect business data in AI applications?The design can include approved data boundaries, permissions, encryption, secure transmission, vendor and model settings, retrieval filters, environment controls, logging, retention rules, secrets management, monitoring, and contractual responsibilities based on the use case.
How much does custom AI application development cost and how long does it take?Cost and timeline depend on users, workflow, data, retrieval, models or vendors, integrations, application complexity, evaluation, security, administration, environments, and deployment. A focused feature may take several weeks, while a production application or platform may require several months and phased releases.
Who owns the AI application, data, prompts, and source code?The client’s business data remain theirs, while source-code, prompt, configuration, model, dataset, and reusable-component ownership or licensing depend on the agreed delivery model and third-party terms. Repository access, credentials, hosting, documentation, maintenance, and handover are defined in the agreement."
Reviewed by Daks J.
Founder & CEO, Hexagon IT Solutions
Daks founded Hexagon IT Solutions in 2007 and leads business discovery and solution planning for custom software, integrations, CRM, ERP, automation, AI, data, digital transformation, and industry technology engagements. He works with clients to connect operational requirements, technology decisions, and long-term delivery planning.
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Share the users, task, current process, data, systems, model or vendor experiments, evaluation concerns, and desired outcome. Hexagon will review whether the best path is configuration, integration, extension, or a dedicated custom build.
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