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SMB Solutions RuntimeAI  ·  2026
For Growing Businesses

AI is Already Running in Your Business.
Now See It, Control It, and Build with It.

Your team is using AI tools today — with or without your knowledge. RuntimeAI gives growing businesses enterprise-grade AI visibility, a governed LLM gateway, and the tools to build their own AI agents — without the enterprise price tag or complexity.

74%
of employees use AI tools IT doesn't know about
<3 days
to full AI inventory across your org
30 min
to first governed agent in sandbox
Same day
go-live — no migration, no sprint
AI Discovery & Shadow AI
See everything — sanctioned or not
Maps every AI tool, chatbot, and agent across your org — shadow or declared — with a living real-time inventory and risk scores.
  • Finds shadow AI in hours, not weeks
  • Risk score per tool — data, cost, compliance
  • Continuous inventory with behavioral baseline
  • One-click audit-ready asset report
LLM Broker
One gateway for all your LLMs
Route all LLM calls — OpenAI, Anthropic, Google, local models — through a single governed gateway. Set spend limits and log every call without touching your apps.
  • Unified API across any LLM provider
  • Per-user and per-app cost controls
  • Swap models without code changes
In-App Agents
Deploy a governed AI agent — powered by HeyRT — in minutes
Launch a governed conversational AI agent for your website, support, or internal team — PII protection, identity, and audit trail built in from day one.
  • No-code deployment — embed in minutes
  • PII auto-tokenized before every LLM call
  • Every conversation logged and auditable
Build AI Agents with RuntimeAI APIs
Governed agents from your first line of code
REST APIs and SDKs to build custom AI agents with identity, policy enforcement, and audit trail already wired in — no security retrofitting after launch.
  • REST APIs + Python / Node SDKs
  • Policy-as-code — define rules in plain YAML
  • Sandbox live in under 30 minutes
AI Cost Control
Stop AI spend surprises
Real-time visibility into exactly what your AI costs — per user, per app, per agent. Set hard budget limits that enforce automatically before the bill arrives.
  • Per-user, per-team, per-project budgets
  • Hard cut-offs — not just alerts
  • Monthly spend forecast, updated in real time
3–10×
More AI Than You Think
Typical org has 3–10× more AI tools in active use than IT has on record — most discovered within hours.
74%
Shadow AI Rate
Of employees use AI tools their IT team doesn't know about — ChatGPT, Copilot, local LLMs, custom GPTs.
$0
Code Changes Required
Discovery, LLM Broker, and Cost Control all go live without touching a single existing application.
Supports SOC 2 Mappings GDPR HIPAA ISO 27001 Mappings CCPA NIST AI RMF EU AI Act CMMC

RuntimeAI does not pursue third-party certifications. It provides its own compliance documentation for customer assessments — CISA SSDF self-attestation, SOC 2 Trust-Service-Criteria control mappings (documentation, not a certificate), an independent-style security review, a threat model, architecture docs, and a current SBOM. On-prem / air-gapped deployment is recommended for regulated data.

Step 01
Connect
Point LLM traffic at the RuntimeAI gateway — zero code changes in existing apps.
Step 02
Discover
Shadow AI Discovery runs automatically — every AI tool across your org surfaces in hours.
Step 03
Control
Set cost limits, PII rules, and policies. Enforced inline — no sprint required.
Step 04
Build
Ship governed AI agents using RuntimeAI APIs — governed from the first commit.
SMB Solutions RuntimeAI  ·  2026
Pain Point
Sales team pasting customer data into ChatGPT — no one knows what's been shared with the LLM.
RuntimeAI Fix
Shadow AI Discovery finds it in hours · LLM Broker routes through governance · PII Shield tokenizes customer data before it reaches any model
Pain Point
AI API bill tripled with no breakdown — can't explain the cost to the CFO or find the source.
RuntimeAI Fix
AI Cost Control gives per-user spend in real time · Hard cut-offs auto-enforce before the bill arrives · No more month-end surprises
Pain Point
Prospect asked if your support bot is GDPR-compliant — you have no audit trail to show.
RuntimeAI Fix
In-App Agents (powered by HeyRT) wrap every conversation with PII tokenization and a tamper-evident audit log — compliance answer is yes, with evidence
Pain Point
Dev team shipped an AI agent with no identity, no audit trail — governance bolted on afterward costs 10× more.
RuntimeAI Fix
RuntimeAI APIs bake identity, policy enforcement, and audit trail into the SDK from day one — governance is never an afterthought
<3 days
to complete Shadow AI inventory across your entire org
30 min
from API key to first governed agent in sandbox
Same day
LLM Broker live — point and route, no app changes
Live
AI spend tracked per user, per app — no month-end surprise bill
LLM
OpenAI / GPT-4oAnthropic ClaudeAzure OpenAIGoogle GeminiLocal / Self-hosted
Business
SlackSalesforceHubSpotMicrosoft TeamsGoogle Workspace
Dev
GitHub CopilotCursor
Automation
Zapiern8nMake
Day 1
Visibility
Shadow AI mapped
Cost baseline set
Risk scores live
Week 1
Control
LLM Broker live
Budgets active
First bot deployed
Month 1
Govern
All AI governed
Audit trail running
Custom agent live
TopicWithout RuntimeAIWith RuntimeAI
What AI is my team using?No idea — found from incidentsFull inventory <3 days, real-time
Where did my AI bill come from?Surprise invoice, no breakdownPer-user spend + hard limits auto-enforce
Is customer PII safe in AI calls?PII flows into LLM prompts uninspectedPII Shield tokenizes before every call
What did my AI agent do?No record — impossible to auditTamper-evident log, always on
Can I build agents without security risk?Governance bolted on after launchIdentity, policy, audit in SDK from day one
See what AI is already running in your business — today.
Free 30-day trial. Full platform. No credit card. Shadow AI results in under 3 days.