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super-amplify

Super Amplify is an AI operating lab (AiOS) that connects company-owned data, agents, dashboards, and workflows to enable governed, enterprise-scale AI across individual contributors, executives, and teams while keeping data, privacy, and IP under customer control.

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Quick Overview

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What it does

AI Agents software for decision-makers comparing workflow fit and alternatives.

Best fit

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Pricing snapshot

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super-amplify

Super Amplify is presented as an AI operating lab (AiOS) built to help organizations turn AI into measurable, governed work. The platform connects company-owned data lakes, agents, dashboards, and workflows so teams can execute work faster, leaders can see adoption and ROI in proof dashboards, and enterprises can scale with privacy, security, and IP protection built in.

The product is positioned for three primary audience paths — Individual Contributors (Builder), Executives (Operator), and Enterprise Teams (Ecosystem) — each using the same secure AiOS foundation. Capabilities emphasized include a unified shared context that keeps data under customer control, personal MyAgents for employees, governed agent workflows, role-based dashboards, and integrations with existing enterprise software.

AI platform for business growth, automation, and data-driven decisions with robust security.

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Key Features

Company-owned data lake

Maintains a shared, company-controlled context and data lake so context, files, and connections stay under customer control rather than being handed off to model providers.

Agent workflows

Agent-based workflows that make AI part of how work moves, letting teams automate repeatable steps and handoffs within governed processes.

Proof dashboards

Dashboards that show adoption, savings, and ROI so leaders can track AI impact, monitor AI-assisted work, and measure payback.

MyAgent (personal AI agents)

Per-user MyAgents that know a person’s role and company context to solve problems on demand and support role-specific workflows (public MyAgent demo is available on the page).

Privacy, security, and IP protection

Built with privacy-first and security-first principles to protect company IP, apply governance, and keep sensitive data boundaries in place.

Unified context across tools

One shared context that all tools and models draw from so teams move faster with connected knowledge while retaining ownership of data and IP.

Role-based and guided dashboards

Role-specific dashboards and command layers that tie KPIs, work queues, adoption trends, and coaching context to next best actions and operational guidance.

Integrations with enterprise software and models

Connects to leading models and builders and integrates with many enterprise tools so AI works inside existing applications rather than becoming a separate silo.

Pricing

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Use Cases

Financial Services

Regulated-client service dashboard providing visibility into client requests, advisor workload, policy exceptions, follow-up timing, and AI-assisted service summaries under a governed operating model.

Healthcare

Leadership and operations dashboard that gives department heads a shared view of volume, staffing pressure, care-team bottlenecks, and AI-assisted follow-up opportunities while keeping patient-sensitive workflows governed.

Highly Regulated Environments

Governance dashboard to manage AI use cases, policy decisions, sensitive data boundaries, training progress, and adoption evidence across regulated contexts.

Parts & Services Sales

Revenue dashboard for territory performance, quote activity, aging opportunities, parts demand, service events, and account growth triggers in a single operating view.

Manufacturing

Production visibility dashboard connecting quality, throughput, maintenance, and labor signals so plant leaders can spot constraints and target AI enablement.

Professional Services

Knowledge-backed AI workspace that helps reuse prior deliverables, speed drafting of engagement letters and memos, and keep month-end work moving without adding headcount.

Legal

AI-assisted intake and review workspace that triages incoming requests, produces first-pass contract summaries against playbooks, and protects attorney time for negotiation and judgment calls.

Marketing Agencies

Brand-voice-aware AI workspace to scale content production across clients, keep voice consistent, and turn monthly reporting into a reviewed, repeatable workflow.

Integrations

Claude / Claude Code / Claude Cowork

Listed as example model integrations that Super Amplify can work with or replace.

ChatGPT / Codex / Gemini

Listed model examples indicating compatibility with leading model providers and builders.

Google AI Studio / Google Notebook

Examples of model and builder tools Super Amplify can connect to.

Replit / Glean / Perplexity / LMGrok

Examples of developer, search, or knowledge tools referenced as integrations or comparable tools.

Slack / Microsoft Teams / Microsoft 365 / Google Workspace

Examples of collaboration and productivity platforms Super Amplify can integrate with so AI works inside tools teams already use.

Jira / Salesforce

Examples of enterprise systems shown as integration points for workflow and operational integration.

n8n / Linear

Examples of automation and task-tracking tools listed among integrations and examples of tools Super Amplify can work with or replace.

Benefits

Keeps company data, knowledge, and IP under customer control while enabling AI-driven workflows and models.
Provides measurable visibility into AI adoption, savings, and ROI through proof dashboards and outcome-focused pilots.
Makes role-based AI practical for individuals and teams via personal MyAgents, guided dashboards, and reusable workflow patterns.

Limitations

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Frequently Asked Questions

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Getting Started

  1. 1 Step 1: Find the ROI opportunity — identify one workflow where AI should save time, money, or improve quality.
  2. 2 Step 2: Run it in AiOS — connect data, agents, people, rules, and dashboards around that workflow inside Super Amplify AiOS.
  3. 3 Step 3: Prove the payback — compare current cost, build cost, agent run cost, and results (example timeframe: 90 days) and report outcomes in dashboards.

Support

Phone

General contact number listed on the site: 855-947-5470.

Docs

Downloadable resources on the site include the AI ROI Whitepaper, a Stakeholder Brief one-pager, and platform videos.

Demo

A public MyAgent demo available on the personas page to try a customer-service MyAgent; site provides guided walkthroughs and case studies.

API

Available: No

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