Fully managed AI agent development services.

AI Agents for Companies

Supertype designs, builds, deploys and provide ongoing maintenance for AI agents custom-built for your organization's unique needs. Our AI agents are designed to integrate seamlessly with your existing systems and workflows, providing you with powerful tools to automate tasks, generate insights, and improve product experiences.

AI Agent
Custom Business Logic
your rules, approvals & workflows
Enterprise Data
warehouses & vector stores
System Integrations
CRMs, ERPs & internal APIs

Custom Business Logic

We design agent behaviors around your SOPs, approvals, existing systems and decision rules so outputs align with how your teams already operate.

ERPCRMCMShuman-in-the-loop

Autonomous Tasks and Workflows

From recurring reporting to cross-system handoffs, we build agents that execute tasks reliably with guardrails, observability, and traceability for enterprise use cases.

RPAAgentic AutomationPeriodic Tasks

Enterprise-grade Deployments

Deploy in the environment that fits your governance model with secure architecture, access control, and production readiness from day one.

CloudOn-premiseHybridSecure-by-Design

Managed Services and Ongoing Support

Our team monitors agent quality, improves prompts and tools, and supports continuous optimization so your AI systems keep delivering business value.

OptimizationSLA SupportContinuous Improvement

Custom AI Agents, purpose-built for your organization.

More than 30 Enterprise AI deployments since 2016.


agent-runtime

running

NF

Nadia · Finance Ops

now

Can I approve the Brightline renewal, or does it need sign-off?

  1. Plan the run

    Find the contract value, then apply the approval policy.

  2. Retrieved 3 grounded sources

    Vector store

    MSA-Brightline.pdfSalesforce · Acct 4821FY25 terms

  3. Applied your approval rule

    Custom business logic

    Exposure $312k is over the $250k threshold, so it routes for VP sign-off.

Needs VP sign-off

human-in-the-loop

Routed to @vp-finance with the contract summary attached. Nothing is approved without a human in the loop.

logged· 2.3s· 4.1k tokens· 2 tool calls· trace #a3f9c1
Same agent, three capabilities

Towards sustainable Enterprise AI adoption

Supertype is the author of the The Enterprise AI Agentic Stack, a framework for architecting enterprise AI systems using the LEAVES framework. It bundles up years of experience building agentic systems for enterprises into a coherent architectural framework.

Agent Execution Loop

Manager

Sub-Agent

Feedback

Enterprise Users

Natural Language Prompts
Agent Guardrails
Custom Data & Attachments
PDF Archives
ODBC Databases
Internal Wikis
Proprietary APIs
Specialist Sub-Agents

Financial Data Analysis

Customer Support

Competitive Intelligence

Prediction & Forecasting

Early Warning Systems

SOP Automation & Enforcement

Skills and Tools Pattern2

API Integration

Data Enrichment

Email & Messaging

Analytics Creation

Database Queries

Report Generation

Knowledge layer

Company Historical Data

SOP and Playbooks

Sectors AI Suite

Databases & Wikis

Business Rules

External Data Sources

Logs & Tracing3

Chat history

Tool-Use Logs

Token Stats

Latency Metrics

Audit trail

Agent Performance

AI Experiences4

AI Chat

AI Search

Scheduled Jobs

Workflow Builder

Supertype is the author of the The Enterprise AI Agentic Stack, a framework for architecting enterprise AI systems with the LEAVES framework.

2Guardrails, and the Skills and Tools are 2 of the 6 patterns expanded upon in our Blueprints from Agentic Patterns

3Logs & Tracing is one of 6 deliverables expanded upon in our book, The Enterprise AI Agentic Stack

4AI Experiences is a concept expanded upon in our book, The Enterprise AI Agentic Stack

Frequently Asked Questions

What is an AI agent and how does it differ from a chatbot?
An AI agent is an autonomous system that can plan, reason, and execute multi-step tasks — not just answer questions. It operates in a continuous execution loop: a Manager coordinates high-level goals, Sub-Agents execute domain-specific tasks in parallel, and a Feedback mechanism evaluates outputs and triggers corrective actions. A chatbot responds to individual prompts while an AI agent is capable of pursuing objectives across many steps, tools, and systems.
How does Supertype build AI agents for my company's existing systems and workflows?
We custom-build enterprise AI agents to connect to ERP, CRM, CMS platforms, relevant databases, internal wikis, proprietary APIs, PDF archives, and any external data sources. The Skills and Tools pattern means each agent can be equipped with API integration, data enrichment, email and messaging, analytics creation, database queries, and report generation capabilities — whatever your workflows require. We design agent behaviors around your SOPs, approvals, existing systems and decision rules so outputs align with how your teams already operate.
How do you ensure auditability and observability?
Every agent action is captured in a Logs & Tracing layer that records chat history, tool-use logs, token statistics, latency metrics, audit trails, and agent performance data. All decisions, task state, and history are continuously persisted so your team can review exactly what the agent did and why — essential for compliance and mission-critical use cases.
Should I hire Supertype if I'm already on way to building an AI deployment in-house?
Supertype is here to help at any stage of your AI journey. If you're just starting out, we can design and build a custom AI agent solution from the ground up. If you already have an in-house team and are on your way to building an AI deployment, we can step in to audit your architecture, optimize your prompts and tools, and provide ongoing support to ensure your deployment is successful and sustainable.
Do you offer ongoing support after deployment?
Yes. Supertype's managed AI development and services offering covers continuous monitoring of agent quality, prompt and tool optimisation, SLA-backed support, and ongoing improvement cycles. An inherent risk with AI agents is that they can degrade over time without maintenance, either due to model degradation, changing data or evolving business needs. Supertype provides the ongoing support and expertise to ensure that your AI deployment continues to deliver positive business outcomes long after launch.

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Publications

Print and digital publications on Enterprise AI, including e-books and whitepapers from Supertype's team of experts. These are print-friendly and can be downloaded for offline reading. Latest publications include:

  • Building Search Engines in the Age of AI
  • Blueprints from Agentic Patterns (2026)
  • The Enterprise AI Agentic Stack (2026)
Supertype Notes

Supertype Notes is a collection of field notes, technical essays and article series on enterprise analytics, machine learning, and data science. We welcome contributions from practitioners working on real-world analytics and AI systems.