Services

Engineer the knowledge
behind better AI.

AI cannot deliver trustworthy answers from fragmented, outdated, or poorly governed information. We uncover what your organization knows, engineer it into an AI-ready system, and activate it where your customers and teams already work.

Take the Free AI Readiness Assessment Explore our services ↓
Assess→Discover→Engineer→Activate→Optimize
01 / Start where you are

From evaluation to optimization

Meet your organization
at its next step.

Some organizations are evaluating where AI can create value. Others already own a platform but struggle with inaccurate answers, incomplete documentation, or low adoption.

We help you understand what is ready, uncover what is missing, and activate AI with greater confidence.

02 / Our services
01

AI Readiness Assessment

Understand whether your organization’s knowledge is ready for AI.

Before investing further in AI, you need a clear view of the systems, documentation, data, and operating practices that will support it. We identify the knowledge gaps, risks, and opportunities that could affect AI performance.

We assess & engineer

  • Customer support ecosystem
  • Documentation and knowledge sources
  • Knowledge maturity
  • Ticket volume and recurring questions
  • Current AI tools and initiatives
  • Governance and ownership
  • High-value AI opportunities

What you receive

  • AI Readiness Assessment
  • Knowledge Maturity Evaluation
  • Current-State Findings
  • Opportunity and Risk Analysis
  • Prioritized Recommendations
  • Executive AI Readiness Roadmap

Best for organizations

  • Exploring AI for the first time
  • Evaluating agents or copilots
  • Preparing for an enterprise AI initiative
  • Unsure whether existing knowledge is usable
  • Improving a poor early AI deployment
Take the Free Assessment
02

Knowledge Engineering

Transform fragmented information into structured, governed, AI-ready intelligence.

Most organizations already possess the knowledge their AI needs. We uncover it across tickets, CRM records, documentation, internal systems, and employee expertise—then deliberately design the knowledge infrastructure that makes it usable at scale.

We assess & engineer

  • Knowledge discovery and inventory
  • Customer question analysis
  • Taxonomy and categories
  • Content relationships and metadata
  • Information architecture
  • Content standards and templates
  • Governance, ownership, and review cycles

What you receive

  • Knowledge Inventory
  • Knowledge Gap Analysis
  • Customer Question Library
  • Knowledge Architecture
  • Taxonomy Framework
  • Metadata Standards
  • Governance Playbook
  • AI-Ready Knowledge Base

Best for organizations

  • Documentation spread across systems
  • Building or modernizing a knowledge base
  • Using historical tickets to improve content
  • Preparing content for agents or copilots
  • Creating repeatable knowledge governance
Discuss a Knowledge Engineering Engagement
03

AI Activation

Activate AI on a trusted knowledge foundation.

Once your knowledge has been assessed, discovered, and engineered, we put it to work. We configure and activate agents, copilots, and intelligent customer experiences using the platform that best fits your organization.

We assess & engineer

  • AI use-case design
  • Platform configuration
  • Knowledge source integration
  • Prompt and instruction design
  • Response testing and validation
  • Escalation and human handoff logic
  • Team training and launch planning

What you receive

  • Configured AI Experience
  • Knowledge Integration
  • Prompt and Instruction Library
  • Testing and Validation Results
  • Escalation Framework
  • Training Documentation
  • Launch and Adoption Plan

Best for organizations

  • Selected a platform but need implementation
  • Launching a customer-facing agent
  • Improving an existing AI experience
  • Connecting knowledge to multiple platforms
  • Strengthening testing and launch processes
Activate Your AI
04

Continuous Intelligence

Keep your knowledge and AI accurate as your organization changes.

Every interaction produces information that can strengthen—or weaken—your AI experience. We monitor performance, identify emerging gaps, and feed those insights back into the knowledge system.

We assess & engineer

  • Resolution and deflection rates
  • AI confidence and response accuracy
  • Customer satisfaction
  • Escalation trends
  • Search success
  • Knowledge freshness
  • Unanswered questions and emerging gaps

What you receive

  • Performance Reporting
  • Knowledge Health Score
  • Knowledge Gap Analysis
  • AI Optimization Recommendations
  • Prioritized Content Updates
  • Continuous Improvement Roadmap

Best for organizations

  • Already launched an agent or copilot
  • Need ongoing knowledge governance
  • Improving AI performance over time
  • Lack an internal knowledge operations function
  • Need oversight without adding a full team
Explore a Continuous Intelligence Partnership
03 / The method

The TableAI Knowledge Engineering Method™

A repeatable path from fragmented information to trusted intelligence.

01

Assess

Evaluate AI readiness, knowledge maturity, support operations, governance, and opportunity.

AI Readiness Assessment
02

Discover

Find the knowledge hidden across tickets, CRM records, conversations, documentation, and teams.

Knowledge Inventory
03

Engineer

Design taxonomy, relationships, metadata, standards, ownership, governance, and architecture.

Knowledge Architecture & Governance
04

Activate

Connect engineered knowledge to a customer agent, employee copilot, search experience, or AI application.

Activated & Validated AI Experience
05

Optimize

Measure performance and feed unanswered questions and emerging needs back into the system.

Continuous Intelligence Plan
04 / What you build

Not isolated deliverables.
A knowledge system.

Together, these capabilities support better customer experiences, stronger operations, and more scalable AI adoption.

01AI readiness roadmap
02Centralized knowledge inventory
03Customer question library
04AI-ready knowledge base
05Scalable knowledge architecture
06Standardized taxonomy
07Metadata and content standards
08Knowledge governance model
09Production-ready AI agent
10Continuous AI improvement program
05 / Who we work with

For teams turning AI ambition into operational reality.

Organizations that are

→Implementing enterprise AI

→Launching customer agents or copilots

→Modernizing customer support

→Consolidating fragmented documentation

→Building or rebuilding a knowledge base

→Preparing historical support data for AI

→Improving AI accuracy and trust

→Establishing knowledge governance

Typical stakeholders

AI & automation leaders

Customer experience & support leaders

Knowledge management teams

IT & digital transformation teams

Revenue Operations & Customer Success

Product & operations teams

06 / The outcomes

Build AI experiences people can actually trust.

01Improve AI response accuracy
02Increase customer self-service
03Reduce repetitive support requests
04Shorten resolution times
05Identify missing documentation
06Improve knowledge retrieval
07Strengthen governance and ownership
08Reduce dependence on individual employees
09Increase confidence in AI answers
10Build a foundation for future use cases
07 / Why TableAI

The platform is secondary

Most providers begin with the platform.
We begin with what it needs.

We combine knowledge engineering, customer experience, CRM strategy, support operations, governance, and AI implementation to solve the foundational challenge behind intelligent systems.

We don’t upload documents into an AI tool and call it transformation. We assess. We discover. We engineer. We activate. We optimize.
Trusted knowledge→Trusted AI
08 / Frequently asked

Common questions,
clear answers.

01Do we need an existing knowledge base?

No. Many organizations begin with information spread across documents, support tickets, CRM records, internal wikis, shared drives, and employee expertise. We identify, consolidate, and engineer those sources into an AI-ready knowledge system.

02Can you analyze our historical support tickets?

Yes. Historical tickets reveal recurring questions, missing documentation, product confusion, escalation patterns, and opportunities for AI-supported resolution.

03Do you only work with HubSpot?

No. TableAI is platform-agnostic. We work across HubSpot, Salesforce, Zendesk, Intercom, Microsoft Copilot, custom GPTs, and other enterprise platforms.

04Can you improve an AI agent we have already launched?

Yes. We evaluate knowledge sources, responses, escalation patterns, gaps, and performance data to determine whether the issue is configuration, knowledge quality, governance, or a combination.

05Is this knowledge management consulting?

Knowledge management is part of the work, but TableAI focuses specifically on engineering knowledge for intelligent systems—including how AI retrieves, interprets, relates, governs, and improves it over time.

06Do you provide strategy or hands-on implementation?

Both. We assess and advise, then turn the recommendations into working knowledge systems and activated AI experiences.

Your free starting point

Find out what
your AI needs next.

Receive an immediate readiness score, critical-risk review, and prioritized next steps for your organization.

Take the Free Assessment Talk with TableAI