Boost productivity with AI agents

In just 30 minutes, see how Shakudo automates complex workflows with self-learning AI agents.

You’ll discover how to:
✓ Increase efficiencies with prebuilt and custom agents
✓ Connect seamlessly to over 216 leading AI tools
✓ Deploy securely within your infrastructure

Pick a slot on the calendar to book a demo today.

Where AI Meets Execution

Everything AI agents need to reason, act, and improve is built in from the start. With full access to tools, data, and context, AgentFlow drive outcomes you can trust at scale.

The Right Tools for the Job

Whether it’s analyzing internal data, pulling insights from documents, searching the web, or handling complex calculations AgentFlow agents are equipped with task-specific tools to solve the hardest business problems.

Turn Questions to Workflows

Ask questions in everyday language, just as you would to a colleague. Whether you're a CEO looking for market trends or an analyst diving into data, your natural questions transform into powerful workflows.

Learning by Doing

Watch your AI agent tackle real scenarios, learning and improving along the way until it find the most efficient way to delivers exactly what you need, completely on its own.

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From Prompt to Polished Output

Your agents transform high-level instructions into clear, production-ready deliverables — like policies, reports, or SOPs — with accuracy and consistency. Each run is traceable, tunable, and built to match real-world constraints.

Seamless Connections to Your Ecosystem

AgentFlow leverages the Model Context Protocol (MCP) to act as a universal bridge between your AI agents and enterprise systems so your agents can tap into any data source or tool in your tech stack.

| agentflow use cases

Designed for your Industry, Built for Success

Operations

  • Automate and Optimize Standard Operating Procedures (SOPs)
    AI agents turn your existing SOPs into intelligent, self-improving workflows, reducing human error, speeding up execution, and continuously improving process efficiency across departments.
  • Generate Real-Time Business Insights Across Departments
    AI agents securely integrate with your CRM, ERP, and analytics tools to deliver on-demand answers to complex business questions.
  • Streamline Employee Onboarding and Internal Support
    Deploy AI agents as virtual onboarding and helpdesk assistants that guide employees through internal tools, policies, and tasks using natural language and real-time updates.

Manufacturing

  • Dynamic QA Optimization: AI agents analyze sensor and defect data across production lines to iteratively optimize inspection rules in real-time, minimizing waste and rework.
  • Predictive Maintenance Orchestration: Agents detect early warning patterns in equipment telemetry and autonomously schedule maintenance actions across teams and suppliers.
  • Global Supply Chain Disruption Response: When disruptions occur, agents re-map component sourcing routes and production schedules using live geopolitics, inventory levels, and cost data.

Financial Services / Investment

  • Live Risk Exposure Monitoring: AI agents aggregate market feeds, client portfolios, and internal models to continuously recalculate exposures and recommend hedging moves.
  • Regulatory Compliance Assistants: Agents read, interpret, and apply evolving regulations to evaluate firm-wide compliance gaps and generate actionable internal policies.
  • AI-Driven Deal Origination: Agents scan market signals, news, and private datasets to surface and qualify investment opportunities tailored to firm-specific theses.

Real Estate & Facilities

  • Smart Lease Negotiation Engines: AI agents ingest zoning laws, comps, tenant history, and local economic activity to draft optimal commercial lease terms.
  • Automated Building Performance Optimization: Agents integrate BMS, occupancy data, and energy rates to autonomously adjust HVAC and lighting policies for cost savings.
  • End-to-End Site Evaluation Recommendations: Given portfolio goals, agents score emerging locations using real-time GIS, demographics, and competitor presence data.

Logistics

  • Dynamic Route Agents: AI agents reoptimize delivery and freight routes in real-time based on traffic, weather, fuel prices, and fleet health across geographies.
  • Autonomous Inventory Rebalancing: Agents predict inventory imbalances and initiate transfers or procurement across warehouses to minimize holding and stockout costs.
  • Disruption Contingency Agents: When delays or geopolitical issues hit a supply route, agents automatically model alternative providers, tariffs, and risk impacts.

Retail

  • Hyper-Personalized Merchandising Agents: Agents ingest POS, CRM, and seasonal data to tailor real-time product placements at the SKU and customer segment level.
  • Dynamic Pricing Coordinators: AI agents respond to competitor prices, real-time demand, and inventory overages by adjusting product pricing continuously across channels.
  • AI-Driven Product Lifecycle Management: Agents forecast consumer trends, evaluate sales velocity, and autonomously recommend promotion or sunset strategies for SKUs.

Energy & Natural Resources

  • Renewable Output Forecasting Agents: AI agents process satellite imagery, weather, and grid data to predict solar and wind availability and inform grid dispatch.
  • AI-Powered ESG Reporting: Agents compile, verify, and format emissions and sustainability data across global operations into compliant, investor-friendly reports.
  • Autonomous Drilling Efficiency Agents: In upstream operations, agents fine-tune drilling parameters in real time by analyzing rock formation data from multiple sensors.

Aerospace & Defense

  • Secure Mission Planning Agents: AI agents simulate mission scenarios using classified datasets, satellite feeds, and logistics to recommend optimal stratagems.
  • Compliance-Ready Procurement Agents: Agents ensure every supplier order meets strict DoD criteria and automate multi-tier documentation tracking.
  • AI Flight Maintenance Agents: Agents synthesize aircraft diagnostics and flight logs to predict failures and autonomously issue part orders and technician alerts.

Legal

  • AI Contract Review Agents: Agents review contracts line-by-line against regulatory checklists and case precedents, flagging risk clauses and suggesting edits.
  • Litigation Strategy Simulator: AI agents emulate opposing counsel arguments based on court history, generating predictive case paths and optimal filing strategies.
  • Real-Time Case Law Updaters: Agents monitor legal databases and alert attorneys to rulings or statutes affecting ongoing cases or firm specialties.

Healthcare

  • Real-Time Clinical Decision Agents: Agents analyze EHR, genomics, and diagnostic inputs to recommend treatments based on latest trials and patient-specific variables.
  • Revenue Cycle Optimization: AI agents chase claims, resolve denials, and optimize billing codes using payer rules and health system policy integrations.
  • Trail Matching Agents: Patients are matched to trials instantly via agents parsing protocol criteria and real-time updates from registries and provider EMRs.
  • Automate and Optimize Standard Operating Procedures (SOPs)
    AI agents turn your existing SOPs into intelligent, self-improving workflows, reducing human error, speeding up execution, and continuously improving process efficiency across departments.
  • Generate Real-Time Business Insights Across Departments
    AI agents securely integrate with your CRM, ERP, and analytics tools to deliver on-demand answers to complex business questions.
  • Streamline Employee Onboarding and Internal Support
    Deploy AI agents as virtual onboarding and helpdesk assistants that guide employees through internal tools, policies, and tasks using natural language and real-time updates.
see agentflow in Operations
  • Dynamic QA Optimization: AI agents analyze sensor and defect data across production lines to iteratively optimize inspection rules in real-time, minimizing waste and rework.
  • Predictive Maintenance Orchestration: Agents detect early warning patterns in equipment telemetry and autonomously schedule maintenance actions across teams and suppliers.
  • Global Supply Chain Disruption Response: When disruptions occur, agents re-map component sourcing routes and production schedules using live geopolitics, inventory levels, and cost data.
see agentflow in manufacturing
  • Live Risk Exposure Monitoring: AI agents aggregate market feeds, client portfolios, and internal models to continuously recalculate exposures and recommend hedging moves.
  • Regulatory Compliance Assistants: Agents read, interpret, and apply evolving regulations to evaluate firm-wide compliance gaps and generate actionable internal policies.
  • AI-Driven Deal Origination: Agents scan market signals, news, and private datasets to surface and qualify investment opportunities tailored to firm-specific theses.
see agentflow in Financial services
  • Smart Lease Negotiation Engines: AI agents ingest zoning laws, comps, tenant history, and local economic activity to draft optimal commercial lease terms.
  • Automated Building Performance Optimization: Agents integrate BMS, occupancy data, and energy rates to autonomously adjust HVAC and lighting policies for cost savings.
  • End-to-End Site Evaluation Recommendations: Given portfolio goals, agents score emerging locations using real-time GIS, demographics, and competitor presence data.
see agentflow in Real estate
  • Dynamic Route Agents: AI agents reoptimize delivery and freight routes in real-time based on traffic, weather, fuel prices, and fleet health across geographies.
  • Autonomous Inventory Rebalancing: Agents predict inventory imbalances and initiate transfers or procurement across warehouses to minimize holding and stockout costs.
  • Disruption Contingency Agents: When delays or geopolitical issues hit a supply route, agents automatically model alternative providers, tariffs, and risk impacts.
see agentflow in logistics
  • Hyper-Personalized Merchandising Agents: Agents ingest POS, CRM, and seasonal data to tailor real-time product placements at the SKU and customer segment level.
  • Dynamic Pricing Coordinators: AI agents respond to competitor prices, real-time demand, and inventory overages by adjusting product pricing continuously across channels.
  • AI-Driven Product Lifecycle Management: Agents forecast consumer trends, evaluate sales velocity, and autonomously recommend promotion or sunset strategies for SKUs.
see agentflow in Retail
  • Renewable Output Forecasting Agents: AI agents process satellite imagery, weather, and grid data to predict solar and wind availability and inform grid dispatch.
  • AI-Powered ESG Reporting: Agents compile, verify, and format emissions and sustainability data across global operations into compliant, investor-friendly reports.
  • Autonomous Drilling Efficiency Agents: In upstream operations, agents fine-tune drilling parameters in real time by analyzing rock formation data from multiple sensors.
see agentflow in Energy
  • Secure Mission Planning Agents: AI agents simulate mission scenarios using classified datasets, satellite feeds, and logistics to recommend optimal stratagems.
  • Compliance-Ready Procurement Agents: Agents ensure every supplier order meets strict DoD criteria and automate multi-tier documentation tracking.
  • AI Flight Maintenance Agents: Agents synthesize aircraft diagnostics and flight logs to predict failures and autonomously issue part orders and technician alerts.
see agentflow in Defense
  • AI Contract Review Agents: Agents review contracts line-by-line against regulatory checklists and case precedents, flagging risk clauses and suggesting edits.
  • Litigation Strategy Simulator: AI agents emulate opposing counsel arguments based on court history, generating predictive case paths and optimal filing strategies.
  • Real-Time Case Law Updaters: Agents monitor legal databases and alert attorneys to rulings or statutes affecting ongoing cases or firm specialties.
see agentflow in LEgal
  • Real-Time Clinical Decision Agents: Agents analyze EHR, genomics, and diagnostic inputs to recommend treatments based on latest trials and patient-specific variables.
  • Revenue Cycle Optimization: AI agents chase claims, resolve denials, and optimize billing codes using payer rules and health system policy integrations.
  • Trail Matching Agents: Patients are matched to trials instantly via agents parsing protocol criteria and real-time updates from registries and provider EMRs.
see agentflow in HealthCare
Trusted by industry leaders
Read Case Studies >

Driving Innovation Across Industries

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real estate | $77.6 Billion AUM

"We chose Shakudo over alternatives because it gave us the flexibility to use the data stack components that fit our needs knowing that we can evolve the stack to keep up with the industry."

Neal Gilmore

Senior Vice President, Enterprise Data & Analytics
@ QuadReal Property Group
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Healthcare | #1 Software for Autism and IDD Care

"We use Shakudo to shorten development time and time to impact. The platform provides us with a value-added shortcut to get from Point A to Point Z much faster. It’s now weeks or months vs months and years."

Chris Sullens

CEO @ CentralReach
Testimonial Image

Digital Analytics | 40% of worldwide internet users

"Almost overnight, Shakudo's product helped us move past many of those struggles so we could focus on solving business problems instead of scaling infrastructure."

Adam Dille

SVP of Product & Engineering @ Quantum Metric
Testimonial Image

Sports | NBA BAsketball Team

"In the last two months, we’ve been able to develop and deploy 4 new AI applications in 2 months, amounting to significant return on operation."

Ben Levicki

AI Solutions Architect @ Cleveland Cavaliers
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Energy | 275% growth in customer base

"Not very often I find slam dunk products like Shakudo!"

Mike Kirkup

Chief Technology Officer @ EnPowered
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climate Risk | processes 33+ billion data points

"With the help of the Shakudo platform, we were able to massively scale our production pipelines, while working collaboratively to meet our product goals."

Andrew Wiebe

Chief Science Officer @ RiskThinking.AI

Deploy AI Agents Today

Book a demo to see how you can easily build secure AI agents with AgentFlow.