Anaplan vs OneStream (2026)

Data reaches Anaplan through Anaplan Data Orchestrator, which connects, transforms and loads data from source systems into planning models, and through CloudWorks for cloud storage, a prebuilt Informatica connector, a command line utility for on premises jobs and transactional and bulk APIs. The agents work on that data inside Anaplan.

Analyst writes updates back to the live planning model within the user's permissions, CoModeler edits import data sources and creates list import actions, and the role based agents start Anaplan workflows. None of them posts a change into an ERP, CRM or HR system on its own.

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More than 250 no code and direct connectors and REST APIs load ERP, CRM and other data, from SAP, Oracle and Workday among others, with validations before and after each load, and a Snowflake connector serves analytics. SensibleAI Agents work on what lands in OneStream and inside Microsoft 365. Their actions stay in OneStream's own cube and workflows, and outside systems are reached by the assistants a team connects, not by the agents.

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Anaplan Workflow breaks a planning process into tasks, approvals and handoffs with owners and deadlines, and ties them to data updates run by Data Orchestrator. Workflow Agent builds those flows from a typed or spoken description, a document or a whiteboard image, adjusts them as the process changes and flags bottlenecks with fixes such as adding a reviewer. The role based agents for finance, sales, supply chain and workforce share one calculation and data foundation, so each one works with the plans of the other functions in view.

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Finance Analyst schedules several long running workflows in parallel and works a variance question through multistep, driver based flux analysis on OneStream's close, planning and reporting engines. Those engines carry the close and planning workflows themselves, with their approvals and period locks. The Agentic Finance Toolkit adds orchestration and skills that guide how outside agents work through OneStream data and workflows.

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Workflow launches tasks by itself when a threshold is crossed, a condition is met or an upstream change lands in the model, and any task can run on a schedule. Data updates triggered by Data Orchestrator feed the same process. The role based agents watch performance continuously and send alerts when they spot a deviation or a risk, so the finance agent can surface a variance before anyone asks. People also reach the agents by typing or speaking a question inside their Anaplan applications, on desktop or mobile.

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Variance analysis runs on a schedule as well as on demand, and Finance Analyst can queue long running workflows to run on their own. People reach the agents in OneStream, Excel and Teams, and through the Finance Agentic Layer a question or a workflow can start from Copilot, Claude, ChatGPT or Gemini instead.

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Agents answer from the customer's live planning models, modules and lists, and Anaplan's data ontology ties them to the business context of finance, supply chain, sales and workforce planning. Analyst queries across every model behind an application, works from a synced copy of the data that honors selective access, and reads extra context admins add in the notes of any line item.

The calculation engine computes the numbers, so each figure in an answer comes from the model, and Analyst shows the source data behind it. CoPlanner works from key data points in the application's models, refreshed on a regular cadence, so its answers can lag the latest change to a plan.

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Finance Analyst queries the OneStream cube directly, using the same hierarchies, business rules and finality the close and planning engines use. Search Agent combines enterprise retrieval with finance context over policies, procedures, platform guides and custom notes, citing where each answer came from. Deep Analysis works across thousands of contracts, policy bundles and compliance archives to answer complex questions.

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CoModeler knows the current state of the model and remembers the last few prompts of the conversation, which survives a page refresh, an accidental close or signing in again, but conversations are not saved from one session to the next. Analyst carries follow up questions within a session and keeps no chat history once the session ends or the user moves to another page. What lasts beyond that is the planning model itself, the workflow history and the audit trail, all of which belong to the application.

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Finance Analyst holds a conversation over several turns, and a change of persona, which sets the cubes and defaults it works from, takes effect in the next new conversation. Administrators write company and persona business context, rules the agent reads on every question, and analysis plans keep a version history of every edit. No memory carries what a team said in one conversation into later ones, so a team's conventions belong in that business context. Every turn of every conversation stays visible to administrators in the AI Control Tower's Chat Explorer as a record for review.

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CoModeler lays out a step by step build plan with annotations and dependencies and executes no change without the builder's explicit confirmation, though a builder who opens a prompt with Approve skips the plan and lets it build at once, and Anaplan steers CoModeler toward development environments.

Analyst writes back to a live plan only within the permissions the user already holds, and Anaplan Workflow routes submissions to assigned approvers with deadlines and notifications. Agent Studio keeps every agent inside the platform's existing roles, so an agent cannot reach data or actions its user could not.

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The agents work inside OneStream's role based access, approvals, period locks and audit trails, so a closed period stays closed to them as it does to people. Accountants review an agent's investigation, sources and evidence before they answer or act. A step where OneStream holds an agent's own change or workflow start for someone's approval is not part of what the agents offer today.

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Anaplan holds SOC 1 Type 2 and SOC 2 Type 2 reports and ISO/IEC 27001, 27017, 27018, 27701 and, since September 2026, 42001 certificates, and its trust center adds CSA STAR Level 1, Cyber Essentials, ENS, TX-RAMP and TRUSTe.

Sign in runs through SAML 2.0 single sign on, with OAuth for APIs and integrations, role based access control, central identity management and IP allow lists, and only users with the AI Admin role can open Agent Studio. Data is encrypted at rest and in transit, a bring your own key add on puts the key in the customer's hands, and customer data, model structures and metadata never train a foundation model. Every agent and every AI Gateway request runs under the user's existing Anaplan permissions.

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Every agent and every MCP interaction runs under the user's OneStream identity and existing role based permissions, so an assistant connected through the Finance Agentic Layer sees only the data that user may see. OneStream holds SOC 1 Type II and SOC 2 Type II reports, ISO 27001:2022 certification, FedRAMP Rev. 5 High authorization and TX-RAMP, with a DORA compliance statement and a CSA STAR questionnaire in its trust center.

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Workflow keeps timestamped audit trails and flow chart reports of tasks, approvals and progress, and the platform sends audit events to a customer's SIEM for alerting. Every change CoModeler makes lands in model history under the user who directed it, marked AI assisted, and Analyst and CoPlanner show the source data, model and timestamp behind each answer. AI Gateway records every tool call an outside assistant makes, with a timestamp and usage details, and throttles heavy use, and Agent Studio shows AI credits, interactions and usage per user.

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Each agent query and workflow execution is audited, with the sources, supporting evidence and history an auditor needs to see how a result was produced. The AI Control Tower's Chat Explorer logs every turn of every conversation with the full question, the response and its review details, and its audit logs capture each sensitive action with the user, the entity touched and its state before and after the change. Analytics and credit history break usage down by user and by agent, and administrators can see activity from assistants connected through the Finance Agentic Layer inside OneStream.

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Anaplan runs as its own cloud service, with in country data centers that keep customer data local for residency rules, among them AWS hosted locations in Singapore and the UAE and data centers in Indonesia, India and Australia. The Singapore center keeps data inside Singapore for public sector and financial services clients. The platform is also sold through AWS Marketplace. There is no customer hosted or on premises edition.

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OneStream runs on Microsoft Azure, hosted in the United States for the Americas, in the European Economic Area and the UK for Europe, and in Australia for Asia Pacific, unless a contract sets otherwise. SensibleAI prompts are processed in Canada, the EEA or the UK for customers there. A FedRAMP High authorized cloud serves government agencies. How a customer picks among the regions is a contract matter.

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Prebuilt role based agents cover financial planning and consolidation, revenue performance management, supply chain planning and workforce planning, each embedded in the matching Anaplan application.

Agent Studio switches on ready Analyst configurations, Finance Analyst, Supply Chain Analyst, Sales Analyst and Workforce Analyst, for an application, and CoModeler and Workflow Agent arrive as ready agents for building models and processes.

Packaged applications such as Integrated Financial Planning, Demand Planning, Territory and Quota Planning and Operational Workforce Planning give each agent a ready model to work in.

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Four prebuilt SensibleAI Agents each do their own job. Finance Analyst handles cube analysis, Search Agent answers from policies and guides, Deep Analysis reads large document sets and Forecast Agent explains SensibleAI Forecast results. Genesis adds a live library of blocks, dashboards, KPIs, workflows, models and AI summarization that teams snap together into new processes, and SensibleAI Account Reconciliations ships prebuilt detectors for the close.

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Anaplan pairs a language model's reasoning with its own deterministic calculation engine, so the arithmetic in an answer is computed by Anaplan, not by the model, which also keeps token use down. A customer has no say in which model runs the agents, and the provider is not named. The Claude, Gemini and Copilot connections through AI Gateway are outside assistants reading Anaplan data, not a choice of model for Anaplan's own agents.

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SensibleAI prompts go to models available through Microsoft Foundry, which OneStream chooses, and calculations stay on OneStream's own deterministic finance engines. No setting lets a customer pick the model behind an agent. A team that prefers its own assistant can work in Copilot, Claude, ChatGPT or Gemini through the Finance Agentic Layer, while the SensibleAI Agents stay on OneStream's selection.

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Transactional and bulk APIs extend the platform for integration work, with OAuth that a customer sets to its own authentication and access policies. AI Gateway adds a supported MCP interface with permissions, rate limits and audit, through which outside assistants and agents query planning data. Access through the gateway starts read only, so an outside agent can look up a forecast but cannot change a model, a formula or a plan through it.

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REST APIs connect outside systems to the platform, and Developer Studio turns OneStream business rules and workspace assemblies into .NET projects that developers edit in VS Code, Cursor or JetBrains Rider and sync back through Git, Azure DevOps or SVN. The Agentic Finance Toolkit adds MCP finance tools and a semantic layer for outside agents, though the MCP address and tool list are not public.

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CoModeler finds error prone formulas, redundant structures and slow spots in a customer's planning model, then documents each formula in plain language, and Workflow Agent studies how long tasks take to suggest a faster flow. Both of those check the customer's own model and process. A team has no way to test how an agent answers or acts before rolling it out to planners.

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The AI Control Tower's Evaluations page tests configured agents against a reusable setup. Each configuration names the agent, Finance Analyst, Search or Deep Analysis, with its persona and a fixed time period or its clusters and plan, sets how many repetitions to run and supplies an input dataset with expected outputs.

Each run shows the input, the expected output and the agent's actual response, and where the LLM Judge is used, a score with an explanation of which elements were right or wrong, so a team can track an agent's quality over time and its consistency across repeated runs. SensibleAI Forecast and SensibleAI Studio measure forecasting models separately, and Forecast Agent explains that accuracy in plain language.

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Everything the agents do happens inside Anaplan, through its models, workflows and data connections. Data from other systems arrives through Data Orchestrator, CloudWorks and the APIs, and none of the agents clicks through another application on a user's behalf.

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SensibleAI Agents work on OneStream's own engines, data and document stores and inside Microsoft 365, and outside assistants come in through MCP. No agent drives a browser or desktop application to reach another system.

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