Build Trusted AI Products and Agents for Technology Companies

Technology companies aren't just adopting AI - they're building AI into the products and experiences they deliver every day. Every copilot, agent, and AI-powered application depends on a trusted understanding of the business, yet teams often recreate business logic for every new use case. Solid automatically creates, evaluates, and maintains the semantic foundation AI needs to understand your business, giving every AI experience a shared, trusted understanding of your data.

Three Ways to Build Trusted AI Across Your Business

What Tech Can Do With Solid
1

Build AI Marketing Assistants That Drive Pipeline

Marketing organizations are increasingly deploying AI copilots and agents to monitor campaign performance, optimize advertising spend, and improve pipeline generation. But advertising platforms, CRM systems, attribution models, and pipeline data rarely share the same business context.


Solid gives every marketing AI agent a trusted semantic foundation, allowing it to analyze performance using consistent business logic across every system and deliver reliable recommendations without requiring teams to recreate business definitions for every new AI application.
Example insights and actions AI can surface
  • Channels with the highest and lowest return on ad spend (ROAS)
  • Campaigns driving the most pipeline in the last 30 days
  • Cost per lead and cost per opportunity by channel and source
  • Lead-to-opportunity conversion rate by campaign
  • Daily spend pacing versus budget by channel
Outcome
Marketing and demand generation teams gain a trusted AI assistant that consistently analyzes campaign performance across advertising, CRM, and attribution data, helping teams optimize investment, improve campaign performance, and accelerate pipeline growth with confidence.
2

Build AI Product Experiences That Understand Your Customers

Product and growth teams are embedding AI into customer experiences and internal workflows to better understand product adoption, identify expansion opportunities, and improve customer engagement. But product analytics, web events, and CRM data rarely connect through a shared understanding of the business.

Solid provides the trusted semantic foundation these AI experiences depend on, allowing AI to consistently analyze customer behavior, feature adoption, activation milestones, and account health across every system.
insights and actions AI can surface:
  • Accounts with high product engagement scores ready for an expansion conversation
  • Features with low adoption rates across a specific plan tier
  • Users who have not completed key onboarding steps
  • Daily active usage trends by account segment
  • Web-to-activation conversion rates by traffic source
Outcome
Product, growth, and sales teams gain a shared AI-powered understanding of customer behavior and account health, helping improve onboarding, prioritize customer engagement, and identify expansion opportunities faster.
3

Deploy AI Customer Success Agents That Reduce Churn

Customer Success teams are increasingly using AI agents to proactively monitor customer health and identify churn risk before renewals are missed. But customer usage, CRM, support, and revenue data rarely exist within a shared business context.

Solid gives churn-monitoring AI agents a trusted understanding of customer data, enabling them to continuously analyze live information across systems and automatically deliver prioritized churn-risk briefings without manual analysis.
insights and actions AI can surface:
  • Accounts with the highest risk of churn
  • Total ARR currently at risk
  • Customers with multiple compounding risk signals
  • Accounts requiring immediate Customer Success attention
  • Automated churn risk briefings delivered to Microsoft Teams
Outcome
Customer Success teams receive automated churn-risk briefings generated from live customer, product, support, and revenue data. Instead of manually assembling reports, AI agents continuously identify at-risk accounts, quantify ARR at risk, surface compounding risk factors, and prioritize the customers who need immediate attention.

Real Results
for Technology Companies Using Solid

Technology companies are building AI-powered products, copilots, and agents that need trusted business context to deliver reliable customer experiences and automate work at scale.


Solid helps technology companies turn fragmented business data into a trusted semantic foundation that gives every AI application a consistent understanding of the business - making it easier to build, deploy, and maintain AI across product, sales, marketing, customer success, and support.
+85%
AI Answer Accuracy
Up from ~20–30%
Faster deployment
Reliable AI + Data initiatives
50–70%
Less Time Spent
Validating & maintaining semantic models
Instead of rebuilding business logic for every new AI application, technology companies can rapidly launch trusted AI products, copilots, and autonomous agents that deliver reliable answers, automate workflows, and improve customer experiences.
Solid removes the biggest barrier to enterprise AI - giving every AI application a trusted understanding of your business so it can deliver reliable answers, power intelligent workflows, and scale across your organization.
See How SurveyMonkey Built Trusted AI Experiences with Solid
Read Case Study

Why Solid?

Reliable AI Insights

AI answers questions using SQL grounded in trusted business logic.

Self-Service Data Access

Business users can ask questions without waiting on analysts.

Consistency Across Tools

The same trusted SQL powers AI tools, dashboards, and reporting.