Business-Focused
Technical findings are connected to the processes, decisions, and operational challenges they affect.
AI Services
AI Readiness Assessment
Find out whether your systems, data, and workflows are ready to support practical AI initiatives before you commit budget, select a platform, or begin implementation.
- Identify gaps that could limit AI performance
- Prioritize the systems, data, and workflows that need attention
- Focus on realistic AI use cases tied to business needs
- Build a practical roadmap for responsible AI adoption
Assessment FocusSystems • Data • Workflows
OutcomePractical AI Roadmap
Use CasesAligned • Realistic • Actionable
Format
A structured review of your systems, data, integrations, workflows, and AI priorities.
Ideal For
Established and growing organizations preparing for AI, automation, or technology modernization.
Primary Outcome
A prioritized roadmap connecting realistic AI opportunities to your current technology environment.
Before Adoption
Why AI Readiness Matters
AI tools are developing quickly, but the systems and processes supporting your business may not be moving at the same pace.
Disconnected applications, inconsistent data, manual processes, and undocumented workflows can make AI initiatives more difficult, expensive, and risky than expected.
AI does not automatically correct these problems. It can produce inconsistent results, create more manual work, expose weaknesses in how information moves, and make it harder to measure return on investment.
The goal is not to recommend AI everywhere. It is to identify where AI can support the business without adding unnecessary complexity.
Readiness Signals
Common Signs Your Business May Not Be AI-Ready
Fragmented Systems
Teams depend on exports, spreadsheets, duplicate data entry, and manual uploads to move information between systems.
Untrusted Data
Different reports produce different answers, important records are incomplete, or teams are unsure which source is accurate.
Manual Workflows
Critical processes depend on email chains, chat messages, individual knowledge, or steps that are not consistently followed.
Weak Integrations
Missing, outdated, or unreliable APIs make it difficult to connect AI tools to the systems where business activity happens.
Limited Data Ownership
No clear person or team is responsible for data quality, access, retention, or acceptable use.
Unclear AI Priorities
The organization is interested in AI but has not identified which use cases are valuable, realistic, or aligned with business goals.
Assessment Scope
What the AI Readiness Assessment Reviews
The assessment connects technical readiness with the way work actually happens across your organization.
01
Systems and Architecture
Applications, platforms, infrastructure, and custom systems that support current operations and future growth.
02
Data Foundations
Where important data is created, stored, structured, governed, and accessed by approved tools.
03
Processes and Workflows
How work moves between people, teams, systems, customers, and decision points.
04
Integration and APIs
Existing APIs, interfaces, data transfers, and event flows that connect business systems.
05
Security and Governance
Access controls, sensitive data exposure, privacy requirements, ownership, and governance responsibilities.
06
AI Use Case Alignment
Potential AI use cases evaluated against business value, feasibility, dependencies, cost, and risk.
Decision Support
Questions the Assessment Helps Answer
Get a practical view of what can move forward now and what needs foundational work first.
01
Which AI use cases are realistic for our business today?
02
Is our data reliable and accessible enough to support AI?
03
Which workflows should be improved before automation?
04
Can our existing applications connect securely with AI tools?
05
Where could AI reduce manual work or improve decisions?
06
What technical debt could slow down an AI initiative?
07
What security or governance issues need attention?
08
Which projects should we prioritize over the next 6–18 months?
Ideal Audience
Who the Assessment Is For
Business Leaders
CEOs, owners, and executives who need a realistic view before committing budget or approving a major AI initiative.
Operations Leaders
COOs and process owners looking to reduce manual work and modernize without disrupting daily operations.
Technology Teams
CIOs, IT directors, developers, and data teams responsible for connecting AI to existing systems.
Complex Organizations
Established companies operating across legacy systems, custom software, spreadsheets, or disconnected platforms.
ManufacturingSupply Chain & LogisticsAutomotiveConstructionHigher EducationComplex Operations
Deliverables
What Clients Receive
Clear findings, practical priorities, and a roadmap that connects AI plans to your current environment.
1
AI Readiness Summary
A clear view of readiness across systems, data, workflows, integrations, security, and governance.
2
Gap and Risk Map
A prioritized list of technical, operational, and data-related issues that may limit AI adoption.
3
AI Use Case Opportunity List
Potential AI and automation opportunities evaluated against value, feasibility, dependencies, and risk.
4
Roadmap and Executive Summary
A phased roadmap and shared view of recommended next steps for business and technology leaders.
Our Process
How the AI Readiness Assessment Works
1
Discover
Understand business priorities, operational challenges, technology, and current AI ideas.
2
Map
Document systems, data sources, integrations, and workflows linked to target outcomes.
3
Evaluate
Assess readiness, dependencies, risks, and realistic AI opportunities.
4
Prioritize
Organize findings by value, feasibility, urgency, cost, and complexity.
5
Recommend
Deliver findings, a practical roadmap, and stakeholder alignment session.
Fit Check
Is This Assessment Right for You?
Multiple business systems
Manual or disconnected workflows
Custom or legacy applications
Inconsistent or inaccessible data
AI or automation investments planned
Need to modernize without disruption
LETTER B
Letter B has worked with complex technology and operational environments since 2008.
Our experience includes custom software, system integrations, operational automation, data platforms, RFID and inventory systems, cloud migration, and business-critical applications.
“AI works best when it is supported by dependable systems, trusted data, and clearly understood workflows.”
Why Letter B
Grounded in Implementation Reality
Built Around Existing Systems
We assess how AI can work with your current environment and where modernization may be required.
Practical Recommendations
You receive focused priorities, not a long list of generic maturity statements.
Ready for Delivery
Recommendations map directly to architecture, integration, and implementation decisions.
Start the Conversation
Ready to Understand Your AI Readiness?
Before investing in another AI platform, pilot, or tool, find out whether your current environment can support it.
- Share your current AI priorities
- Help us understand your systems and workflows
- Discuss whether the assessment is the right next step