TBW / AI SOLUTIONS
Enterprise AI Solutions
Private AI, local AI, knowledge systems, agents and voice, designed around your data boundaries, your systems and your controls.
Request a Consultation Find Your Starting Point
Where Enterprise AI Initiatives Stall
AI without governance
The challenge: A useful pilot still needs an owner and clear rules for production use.
How TBW helps: Design ownership, policy and oversight into the project from the start.
Sensitive data exposure
The challenge: Employees and AI systems may handle information without clarity about where it goes.
How TBW helps: Define data boundaries, approved services and controls around sensitive work.
Disconnected systems
The challenge: An AI tool has limited value if it cannot safely work with business information.
How TBW helps: Connect approved applications and data while respecting existing permissions.
Excessive agent permissions
The challenge: A system that acts across tools can make consequential changes with the wrong access.
How TBW helps: Limit actions to the task and introduce approval when it matters.
Pilots without production paths
The challenge: A prototype may work but lack support, measurement and ownership.
How TBW helps: Plan evaluation and operation before a broader rollout.
Cloud-only or local-only thinking
The challenge: One deployment answer will not fit every workload.
How TBW helps: Assess data, latency, cost and operating responsibilities for each use case.
Start with the business constraint—not a preferred model.
AI Solution Families
Enterprise AI
What it is: AI connected to business operations.
Best for: AI needs to work inside existing processes.
Commonly combined with: RAG, agents and integration.
Private AI
What it is: AI designed around controlled data and model access.
Best for: Public endpoints do not fit your requirements.
Commonly combined with: Knowledge systems and security.
Local AI
What it is: Selected AI workloads running near users and data.
Best for: Latency or policy supports owned capacity.
Commonly combined with: Private AI and AI Systems.
RAG & Knowledge Systems
What it is: Answers grounded in approved company knowledge.
Best for: People need answers from internal documents.
Commonly combined with: Private AI and Voice AI.
Voice AI
What it is: Spoken customer or employee interactions with a path to people.
Best for: Phone or voice is an important channel.
Commonly combined with: Knowledge systems and integration.
Agentic AI & Automation
What it is: AI that helps complete bounded work across systems.
Best for: Tasks vary and span more than one step.
Commonly combined with: Integration and security.
AI Security & Governance
What it is: Controls and accountability around AI use.
Best for: Security and policy questions block adoption.
Commonly combined with: Every solution family.
AI Systems & Infrastructure
What it is: The platform and capacity for private or local AI.
Best for: Your organization will operate AI infrastructure.
Commonly combined with: Local and Private AI.
Compare Solutions
| Solution | Best when you need | Main consideration |
|---|---|---|
| Enterprise AI | AI needs to work inside existing processes. | Integration and ownership. |
| Private AI | Public endpoints do not fit your requirements. | Data boundaries. |
| Local AI | Latency or policy supports owned capacity. | Operations and capacity. |
| RAG & Knowledge Systems | People need answers from internal documents. | Accuracy, permissions and freshness. |
| Voice AI | Phone or voice is an important channel. | Experience and human handoff. |
| Agentic AI & Automation | Tasks vary and span more than one step. | Tool permissions and action control. |
| AI Security & Governance | Security and policy questions block adoption. | Risk and governance. |
| AI Systems & Infrastructure | Your organization will operate AI infrastructure. | Capacity and lifecycle. |
Find Your Starting Point
A starting point, not a formal assessment. No answers are stored or submitted.
For documents consider RAG; for automation Agentic AI; for voice Voice AI; for controlled employee use AI Security; for local workloads Local AI. Start with AI Readiness Assessment.
Your AI Solution May Combine Several Capabilities
Enterprise AI solutions are rarely isolated products. A practical design may combine knowledge, models, security, integration and automation around one business requirement.
Knowledge Assistant
Approved company knowledge + identity-aware answers + controlled model access.
Voice Front Door
Voice interaction + company knowledge + human handoff when needed.
Workflow Automation
AI assistance + business applications + approval controls and an audit trail.
Enterprise AI Use Cases
These are design patterns, not customer case studies.
Secure Employee AI Adoption
The challenge: Employees use AI without a clear approved path.
How TBW helps: Create a useful, governed employee experience.
Best for: Organizations enabling staff AI while maintaining control.
AI Agents with Controlled Tool Access
The challenge: Automation needs to act across systems without excessive access.
How TBW helps: Bound tools, permissions and approvals to the work.
Best for: Teams piloting agents for real business processes.
Microsoft 365 Workflow Automation
The challenge: Email, collaboration and files are fragmented.
How TBW helps: Connect approved workflows with review before actions.
Best for: Teams working across Microsoft 365.
Salesforce Workflow Automation
The challenge: CRM tasks rely on manual updates and scattered context.
How TBW helps: Use AI to suggest and enrich work with controlled CRM access.
Best for: Sales or service teams improving CRM workflows.
Internal Knowledge & RAG Assistants
The challenge: Staff struggle to find current, authorized answers.
How TBW helps: Ground responses in approved company knowledge with citations.
Best for: Organizations with policy or technical documentation.
Customer Support & Voice Agents
The challenge: Routine contacts consume capacity and context gets lost.
How TBW helps: Combine grounded responses with consent and human escalation.
Best for: Support operations with phone or text channels.
Sensitive Data Protection in AI Workflows
The challenge: Sensitive information can enter prompts, files or logs.
How TBW helps: Classify, protect and route data before AI processing.
Best for: Organizations handling regulated or confidential data.
Local & Private AI Deployment
The challenge: A public route may not meet data or operational requirements.
How TBW helps: Assess a controlled boundary and measured workload before deployment.
Best for: Teams requiring owned or private AI capacity.
How TBW Helps
Assess
Understand use cases, data, security and readiness.
Architect
Design the solution, boundaries and operating model.
Integrate
Connect business data, applications and workflows.
Secure
Apply identity, permissions and data protections.
Deploy
Implement an appropriate managed, private, hybrid or local route.
Operate
Monitor quality, risk, cost and lifecycle changes.
Simple Enterprise AI Architecture
A useful AI solution is more than a model. TBW brings business requirements, data, applications, AI, security and operations together as one controlled system.
Experience
Where employees or customers interact.
AI & Orchestration
The work AI assists or coordinates.
Knowledge & Data
Approved information used in responses.
Integration
Connections to existing applications.
Security & Identity
Who may access information or act.
Infrastructure
Where the workload runs.
Operations & Governance
How it is measured, owned and improved.
For deeper engineering decisions, see Solution Architecture and Deployment.
Deployment Choices
Managed Cloud
A managed service may suit workloads where its terms and data route meet requirements.
Private Cloud / VPC
A controlled cloud environment may fit stricter boundary needs.
Local / On-Premises
Owned capacity may fit data location, latency or operational requirements.
Hybrid
Different workloads may use different approved boundaries.
There is no single best deployment model. Compare data sensitivity, integration, latency, operating skills and workload economics. Explore AI Systems.
Secure AI by Design
Protect Sensitive Data
Control where information is processed and shared.
Control AI Actions
Limit tools and require approval for sensitive actions.
Maintain Accountability
Keep identity, logging and governance around AI use.
Test Before Scaling
Evaluate quality and security before wider adoption.
AI Security · AI Governance · Identity, Permissions & Guardrails
How We Work With You
Assess
Define requirements, risks, systems and readiness.
Architect
Design boundaries and the integration approach.
Build & Integrate
Implement AI and connect approved systems.
Secure & Validate
Test access, data handling, quality and failure cases.
Deploy
Pilot and roll out with clear ownership.
Operate & Improve
Monitor quality, cost, security and change.
Services: Consulting · AI Implementation · Enterprise Integration · Training · Ongoing Support
Further Reading
Go deeper when a decision calls for it—not before.
AI Readiness Assessment
Evaluate candidate work, data and risks before implementation.
Data Integration & RAG
Learn how knowledge systems handle data and retrieval.
Model Selection & Local Inference
Understand model fit and controlled serving choices.
AI Resources
Guides and articles currently available from TBW.
Ready to Define Your AI Starting Point?
Whether you are exploring private AI, knowledge systems, voice, agents or secure employee adoption, TBW can help turn the requirement into a practical architecture.