Intelligence Platform

The intelligence layer for modern work

Connecting tools, teams, and context into systems that think and perform together.
Customer Success
Transform customer operations with intelligence that connects data, systems, and channels to deliver faster, more human service at scale.
Use cases:
  • Automate customer support and ticket resolution, 24/7
  • Works across tools and teams to get the right information, fast
  • Integrate with all major social channels and commmunication platforms
  • Provides enriched customer data profiles and analytics
Sales & GTM
Accelerate revenue teams with intelligence that connects CRMs, workflows, and content systems to close deals faster and with greater precision.
Use Cases:
  • Lead qualification and routing, with 24/7 support
  • Proposal generation, mock-ups, and quoting
  • CRM automation to record updates and log interactions
  • 24/7 conversational sales, that feels personal and on-brand
63%
Faster
time to close.
<1%
Error rate in 
AI-assisted sales
24/7
Mock up
generation
Agent Orchestration
Unify the enterprise with intelligence that connects tools, agents, and data into coordinated workflows that run end-to-end.
Use cases:
  • Cross-tool collaboration, linking CRMs, ERPs, and comms for updates, handoffs, and triggers
  • Multi-agent coordination to enable AI agents to collaborate across departments, passing data and context seamlessly from support to sales to operations.
  • Approval and exception handling to automate repetitive tasks
  • Data and knowledge sync to retrieve and maintain records
Operations
Optimize operations teams with intelligence that connects finance, HR, manufacturing and product with the world's most powerful AI models.
Use Cases:
  • Unify data across systems to produce real-time cash flow, margin, and spend insights.
  • Resourcing intelligence to match capacity with demand
  • Automated reporting and natural language querying of data sources
  • Exception management for risk and anomolies  
Works across tools
Enable intelligence everywhere it’s needed. By working across existing tools, our Intelligence Platform integrates at the workflow level, enabling intelligence that’s aligned to business outcomes.
including:
  • Taking actions across the tools your teams use
  • Acting on real-time events across multiple systems
  • Integrating with identity, communication, and analytics tools to ensure secure and measurable performance
  • Simple admin controls from a central dashboard
  • Pulling operational data into workflows so the agent can observe, decide, and act
See Integrations
See Integrations
How does Substantial price its work?
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Substantial uses a fixed-fee model for upfront strategy and implementation, followed by usage- or license-based pricing for ongoing operation of AI systems.

This structure aligns incentives around business outcomes rather than hours billed, and ensures Substantial remains accountable for the performance of the systems it operates.
How does the Intelligence Platform connect with tools and teams?
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The platform connects directly into existing tools, CRMs, ERPs, communication systems, and data sources. It orchestrates actions across them, enabling AI agents to observe, decide, and act inside real workflows.

Integrations are configured around jobs-to-be-done which often require fewer tools and streamlines processes.
How are reliability and safety maintained as systems evolve?
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Substantial provides continuous monitoring, evaluation, and governance for each system. Performance is tracked in production, prompts and decision logic are refined as workflows change, and model updates are introduced carefully to maintain accuracy, safety, and alignment with the intended outcomes.
Who manages incidents and vendor relationships?
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Substantial can manage incidents and vendor relationships when needed, or the business can keep these responsibilities in-house. In ongoing partnerships, Substantial typically handles first-line incidents, coordinates with model and infrastructure providers, and ensures systems stay healthy. In lighter-touch or strategy-focused engagements, Substantial provides guidance while internal teams remain in control.
Which areas of the business will benefit most from AI?
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The Intelligence Layer excels in workflows that span multiple tools and teams, require significant coordination, and rely on repeatable, knowledge-based decision-making. These are typically high-frequency, rules-driven processes where institutional knowledge can be captured and expressed as logic.

This includes:

Customer Success: ticket automation, channel coordination, enriched customer data.

Sales & GTM: CRM workflows, qualification, routing, quoting, and proposal generation.

Operations: finance, HR, manufacturing, and product workflows where unified data unlocks real-time insight.

Agent Orchestration: multi-agent collaboration across departments, passing context from support to sales to operations.

These domains benefit because intelligence reduces latency, increases accuracy, and handles complexity across tools that traditionally require heavy manual coordination.
Learn more
Learn more
What makes a business a good fit for Operate?
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The Operate partnership is designed for mid-market companies that face enterprise-level pressures but don’t have the internal capacity to manage, govern, and operate modern AI systems. These are growing businesses whose teams are fully focused on running the day-to-day, leaving limited bandwidth to drive new initiatives or evaluate complex technology choices.

Companies that see technology as a way to create more value—for customers, employees, and the business—and want to elevate how their teams work are especially well suited. Operate provides the leadership, accountability, and operational capability needed to build, run, and evolve AI systems that would otherwise require significant internal investment.
How are hosting, deployment, and day-to-day operations supported?
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Substantial supports several operating modes depending on the system being built and how each company prefers to run it. For custom software, Substantial can maintain the codebase directly, transition ownership to internal teams, or provide flexible support that scales up or down as needed. The priority is ensuring that what is built remains useful, usable, and reliable over the long term.

For AI systems, Substantial can operate on existing models and infrastructure or provide fully managed hosting and operations. This includes deployment pipelines, CI/CD, DevOps, monitoring, continuous improvement, and updates to prompts, logic, and model versions. Pass-through costs are handled transparently, and companies can choose the level of operational responsibility Substantial takes on.
Careers at SUBSTANTIAL
Interested in shaping how technology is built and deployed?
We’re hiring across engineering, product, and design.
See Careers
See Careers