Agentic AI Services From Answers to Action
Rudder Analytics builds agentic AI systems: connected agents that share governed data and coordinate work across your business.
Task flowLogged
Models, clouds and data platforms behind the agents
Agentic AI Development
What Agentic AI Can Do for Your Business
Agents run routine work across your systems and bring people in only where a decision needs them.
See the engine behind the agentsWork Done End to End
Orders, claims and requests move from intake to closed without waiting in a queue.
Decisions Made Sooner
Agents read the numbers daily and bring the cause and the options to the owner.
Customers Guided to an Answer
Shoppers and clients get answers, comparisons and next steps from live data.
Control at Every Step
Each agent acts inside set limits, with approvals and a record of every action.
Why AI Agent Projects Stall
Most agent pilots stall on the same gaps before they go live. Rudder Analytics closes each one in the build.
Data the agents cannot trust
Agents read copies, so risk teams block the rollout.
Tools without limits
One unchecked tool call can change a live record.
Work nobody coordinates
Steps stall between agents, and no one escalates.
No record of what happened
Without tests and logs, nobody can explain a failure.
No clear owner
Each team assumes another one runs the agents.
AI Agent Capabilities
What AI Agents Take On
The kinds of agents Rudder Analytics builds, each shown on a typical task.
Supplier invoice run
- Invoice in
- Matched to its order
- Payment terms checked
- Price gap sent to finance
Autonomous AI Agents
Agents that take a goal, plan the steps and finish routine work on their own.
Purchase order, by email
Purchase order read
Items and prices captured
Delivery date unclear: supplier asked
Intelligent Process Automation
Automation that reads documents and messages and handles the cases a fixed script cannot.
Rain shell for Iceland, here by Friday?
In stock, and it arrives Thursday.
Added to cart: Rain Shell, $149
Conversational AI Agents
Assistants for shoppers and leaders that answer in plain words from live data.
49.8%Gross margin this weekFloor 51%
Expedited freight explains 0.9 points
Decision Support Agents
AI Signals flags a KPI off target; AI Insights agents trace the cause, inside AI OS.
- Feed changed
- Mapping updated
- Reports
148 pipeline tests passed
Fix ready before the 6 AM reports
Data Engineering Agents
When a source changes, agents update and test the pipelines; an engineer signs off.
Agentic AI Development Services
From the first use case to an agent platform the business owns.
Agentic AI Strategy and Consulting
Find where agents would move revenue, cost, risk or time, and agree the plan before any build.
- A review of the data, the systems and the pilots already running
- Use cases ranked by value, with the business case for the first
- The plan, cost and timing agreed up front
Custom AI Agent Development
Agents shaped to the company’s own processes and data, from one task to a whole workflow.
- Agents for service, operations, finance and data teams
- Connected to the documents, records and tools each agent needs
- Language models chosen for each job and its cost
Multi-Agent Systems and Orchestration
Specialist agents work in parallel under an orchestrator. It plans the work and sends back any result that fails its checks.
- Shared memory, knowledge and guardrails across the agents
- Work passed from agent to agent, and on to a person where needed
- A cost limit on every run
MCP Server Development
An MCP server that lets leaders ask questions in their own AI assistant, in plain words.
- Answers from the company’s own metric definitions
- Each answer shows the calculation, filters and period
- Connected to the warehouse and the business systems
AI Agent Integration Services
Agents connected to the ERP, CRM, helpdesk, commerce and data platforms through approved tools and APIs.
- Updates written back to each system inside set limits
- APIs, files and event streams, in batch or real time
- Runs on the client’s cloud and preferred stack
Managed AI Agent Services
After launch, Rudder Analytics runs and improves the agents, and adds new ones on shared tools.
- Support from the squad that built the agents
- Tuning for speed, cost and success rate
- Owners, budget and a roadmap for the agent platform
AI Agents for Every Industry
Agents built on each industry’s own systems and rules.
Agentic AI for eCommerce and Retail
Agents that keep stock, orders and customers moving across the store, the marketplaces and the ERP.
- Shopping Assistant AgentAnswers shoppers from live stock and delivery dates, and builds the cart.
- Order Exception AgentFinds late, split or failed orders and prepares the fix for the operations team.
- Replenishment AgentReads sell-through and supplier lead times, and drafts purchase orders for approval.
Agentic AI for Insurance
Agents that move claims, policies and service requests through each step, with a record of every decision.
- Claims Intake AgentReads each first notice of loss, checks the coverage and routes the claim to the right handler.
- Underwriting Support AgentGathers application data and prior history into a risk summary for the underwriter.
- Policy Service AgentHandles routine policy changes and questions, and passes exceptions to a person.
Agentic AI for Financial Services
Agents that watch transactions and speed up the close, inside strict controls.
- Fraud and Anomaly AgentFlags unusual transactions for review, with the evidence behind each flag.
- Reconciliation AgentMatches ledger, bank and payment records, and lists each break with its likely cause.
- Compliance Reporting AgentPrepares regulatory and audit reports from governed data, ready for sign-off.
Agentic AI for Manufacturing
Agents that connect the plant floor, the supply chain and the ERP, so planners act sooner.
- Supply Chain AgentTracks supplier lead times and stock, and flags a shortage before it stops a line.
- Maintenance Planning AgentReads machine data and work orders, and plans maintenance around production.
- Quality AgentLinks each defect to its batch, supplier and settings, and drafts the corrective action.
Agentic AI for Healthcare
Agents that take routine administration off clinical and billing teams.
- Patient Access AgentHandles scheduling, reminders and routine questions, and passes clinical ones to staff.
- Coding and Billing AgentChecks codes and claim details before submission, and flags gaps for the billing team.
- Capacity AgentReads admissions and staffing data, and warns planners of busy days ahead.
The Engine Behind the Agents
Governed data feeds one engine. It plans the work, runs specialist agents in parallel and checks every result before it ships.
Built to Be Trusted With Real Work
A Job Description for Every Agent
Each agent gets a defined role: the systems it may read, the actions it may take and the limits it cannot cross.
- Read and write access set for each system.
- Daily task and spend limits.
- Escalation to a named person above set thresholds.
Business effect: Predictable behavior that leadership can sign off.
Answers Grounded in Your Own Records
Agents read governed sources only: the warehouse, your policies and your past tickets. Every answer shows where it came from.
- Sources cited with every answer.
- Spreadsheet exports and stale copies blocked.
- Personal data masked by default.
Business effect: A support lead can check each answer against the customer record and the returns policy.
Yes, as store credit. Loyalty members get store credit up to 60 days after delivery1. This customer joined the program in 20242.
- 1Returns policy, SOP libraryGoverned
- 2Customer record, data warehouseGoverned
- Spreadsheet exportBlocked
Tested Before Release, Watched After
Each agent is tested on past cases against targets agreed with the business owner, then monitored for accuracy, cost and speed.
- Targets set before the build starts.
- Release only when every target passes.
- Accuracy and cost reported every week.
Business effect: Risk controlled before any agent scales.
Questions Leaders Ask
Asked before the first agent is planned.
Which work should go to an agent first?
Work that repeats, follows written rules and draws on more than one system. Discovery ranks each task by the value it would add to the business.
How long does the first agent take, and what does it cost?
It depends on the systems and the data involved. The plan sets the timeline and the cost before any build starts.
How is an agent's value measured?
Each use case is tied to a clear measure before the build: revenue per head, cost per transaction, risk reduction or cycle time. The agent then reports against it.
What does the business own at the end?
Clear ownership of each agent, its documentation for risk and audit teams, and a roadmap and budget for the agent platform.
Who builds and runs the agents?
One squad of data, ML and backend engineers, AI architects and domain leads. It takes each agent from the data to the approval and owns its reliability, performance and risk.
The Agents That Pay Back First
A strategy call maps where agents fit the business, and which ones to build first.
