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AI Solutions • Agentic Automation • Security
Build. Integrate.
Secure. Scale AI.
TBW designs and implements enterprise AI systems across private AI, intelligent agents, automation, integrations and AI security.
data
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CORE
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models
retrieval
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agents
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systems
ecosystem
Technologies We Work With
Technology choices depend on the environment and requirements; names here do not imply partnerships.
challenges
Where AI initiatives get stuck
Architecture should start with the constraints, not the model.
AI without governance
A useful prototype still needs ownership, policy and oversight.
Sensitive data exposure
Data boundaries and approved model access matter from the first design decision.
Disconnected tools
Fragmented workflows make adoption and control harder.
Excessive agent permissions
Bound tools and approvals to the task at hand.
Pilots without production paths
Design for integration, validation and operations early.
Cloud-only constraints
Assess privacy, operations and cost tradeoffs across deployment models.
capabilities
One architecture. Multiple capabilities.
Explore the building blocks of an enterprise AI program.
Enterprise AI
Design systems around organizational needs and existing workflows.
Private & local AI
Evaluate controlled model deployment near the data.
Agentic AI
Connect bounded agents to tools and human decision points.
AI security
Build identity, access and governance into the design.
Enterprise integration
Connect knowledge, APIs and business systems.
AI infrastructure
Plan compute, networking and operational boundaries.
architecture
From business need to production
Select a stage to explore the corresponding existing TBW service route.
security
Secure AI by design
Controls belong throughout the architecture, not only at the endpoint.
deployment
Choose the right deployment boundary
Local, private, cloud and hybrid are architecture options—not blanket guarantees.
Local
Model execution on organization-managed systems; sizing and support need planning.
Private
Dedicated environments with explicitly designed access and data boundaries.
Cloud
Managed capacity with provider-specific controls and data considerations.
Hybrid
Route workloads across environments based on policy and requirements.
process
A practical implementation path
Each step informs the next; scope depends on your systems and goals.
- 01Discover
- 02Assess
- 03Architect
- 04Build
- 05Integrate
- 06Secure
- 07Validate
- 08Operate / optimize
use cases
Applied AI patterns
Representative workflows, not claims of customer deployments.
Knowledge & RAG
Retrieve relevant organizational content to ground responses.
Controlled agents
Bound tool access and add approval gates for consequential actions.
Workflow automation
Connect Microsoft 365 and Salesforce workflows with defined permissions.
Voice AI
Plan speech, orchestration and human escalation as one system.
resources
Explore the resources library
Browse the existing resources page; no articles are presented as published here.
Ideas, architecture and guidance
Continue exploring TBW’s resources as the library develops.
START WITH A CONVERSATION
Build an AI path that fits your environment.
Talk through the architecture, integration and security questions that matter to your organization.