Built around your process
Marshal agents are scoped to your unique process, connected to your systems and configured around your policies. Marshal is trained on your business context and what a good result looks like. M2
AI agent comparison · 2026
Who owns the work after setup?
Lindy is an AI teammate for shared work across Slack and connected apps. Marshal is a managed agent that runs entire workloads. Both integrate across your tools and systems. The decision comes down to how you want to adopt AI: give a knowledge worker an AI assistant, or hand-off a full workload to an agent operator.
Published by Marshal. Based on public product documentation.
The operating difference
A defined workload. An operator responsible for keeping it working. M2
An AI assistant. Your team directs its ad-hoc use across the business. L1L3
TL;DR · Why Marshal
An AI teammate or assistant helps humans do the work. Marshal takes an entire workflow and owns it end-to-end. We build, manage, and maintain the agents so the work no longer depends on daily human effort.
Marshal agents are scoped to your unique process, connected to your systems and configured around your policies. Marshal is trained on your business context and what a good result looks like. M2
Agent monitoring, technical fixes, and changing work processes are part of the service. Your team handles the decisions that require judgment; Marshal carries the day-to-day operating work. M2
Trial Marshal in your environment on actual work problems. Review the output and the way the agent handles exceptions before deciding on a paid rollout. M3
Choose Marshal to delegate a full workflow. Consider Lindy when your priority is broad AI assistance that gets assigned via chat.
At a glance
Scope: Marshal Managed Agent Operations and Lindy’s current AI teammate plans. Enterprise qualifications are called out. Availability means documented support, not a guarantee that your exact workflow is covered.
On smaller screens, swipe the table or focus it and use the arrow keys to compare both vendors.
| Capability | Marshal | Lindy |
|---|---|---|
| Core work & connections | ||
| Support ticket work Triage, draft replies and route exceptions. | Available Custom support operations; see fitDEGREE’s deployment. M4 | Available Queue triage, reply drafting and escalation routing. L5 |
| Ad-hoc team assistance Humans do the work; agents handle on-the-fly tasking. | Limited Configured as end-to-end workload owners; not all-purpose assistants. M2M3 | Available Shared meeting context and reusable team skills. L1 |
| Existing tools & custom connections Read or act across the systems your work requires. | Available Standard connectors included; deeper API or legacy work is scoped. M3 | Available Integration catalog plus MCP connections. Verify required actions. L4L7 |
| Setup & ongoing ownership | ||
| Custom workload design A provider designs your specific operating process. | Available Process mapping, configuration and deployment are service responsibilities. M2 | Not verified Enterprise lists onboarding; bespoke process design is not established by that offer. L2L3 |
| An ongoing agent operator A provider owns initial configuration, daily ops, and continuous tuning. | Available Marshal operates the agreed workload after launch. M2 | Not verified Lindy monitors its platform. A dedicated operator for your process is not specified. L6 |
| Human approval controls Consequential work waits for the right person. | Available Approval gates and exception queues follow your policies. M3 | Available External actions require approval; named roles are described for Enterprise. L2L3 |
| Evidence & control | ||
| Action history Inspect what the agent did. | Available Audit trails are listed across pricing tiers. M3 | Available Action visibility is documented. Enterprise separately lists audit logs. L6L2 |
| Business knowledge & boundaries Control the context and access used for work. | Available Workloads use your knowledge sources, policies and permissions. M1M3 | Available You control access and memory; Enterprise adds central team-source controls. L6L1L3 |
| Commercial & operating fit | ||
| Published entry price Different units of purchase, shown in USD. | Available Operator: $475/month per workload. M3 | Available Plus: $29.99/user/month, with 3,000 credits. L2 |
| Capacity & scope What needs agreement before scaling the work. | Limited Each workload has agreed scope; complex integrations need scoping. M3 | Limited Credit-using work pauses when credits run out. L2 |
| Try before committing Check the actual entry path and payment conditions. | Available Free evaluation; no credit card required. M3 | Limited New Slack teammates: 7-day trial. Direct signups: billed immediately, per pricing FAQ. L2 |
The pick
Think about how involved you want your team to be in running the workflow and managing the agents.
The Marshal operating model
Marshal builds and operates the agents that do the work, with ongoing monitoring, maintenance, and improvements. You set the rules and retain the decisions that require judgment.
Together, we map the workflow: what starts it, what information it needs, what counts as complete, and which exceptions need your attention.
You approve what the agents can access, what they can do independently, and which actions require your review.
Marshal builds the agents, connects your approved tools, and configures the workflow around how your business operates.
During your 14-day free trial, we run the workflow in your environment. You review the results.
Marshal monitors runs, investigates failures, fixes issues, and adjusts the agents as your process changes. Your team handles the human elements of business — relationships, judgment, taste, and strategy.
Straight read on the trade-offs
Marshal takes over a complete workload. Lindy gives your team tools to work with. The trade-off is how much you initially spend, how freely you can task, and how much your team still manages.
Customer proof
fitDEGREE
B2B SaaS · Customer support
fitDEGREE needed relief from repetitive support work. Marshal connected its existing support workflow to customer context, billing and product documentation. Agents classified tickets, prepared approved responses, updated records and handed complex cases to people with the context attached.
Read the fitDEGREE case studyThis is a customer result documented in a public case study.
Evaluation guide
Bring the same recurring workflow to both providers. Ask them to demonstrate it with your tools and show exactly what your team would still need to do.
What exactly counts as 'finished' for this workflow?
What will our team still have to do each time it runs?
Can you show it working across our tools, including a case that goes wrong?
Who monitors the work, fixes failures, and updates the workflow when our process changes?
Which actions need our approval, and what happens while approval is pending?
How can we verify what was completed, what failed, and what needs our attention?
What will it cost at our expected workload, and what happens if we exceed it?
If we leave, what can we take with us, and what would we need to rebuild?
FAQ
Direct answers to the practical questions.
Choose Marshal when you want to hand off a recurring workflow and have someone responsible for keeping it running. Marshal builds the agents, monitors their work, resolves failures, and maintains the workflow as your process changes. Your team sets the rules and handles agreed approvals and exceptions.
M2Lindy is a better fit when your team wants to use and configure AI directly, from everyday assistance to workflows you build yourself. Choose it when you want that flexibility and have someone internally who can manage setup, check results, and maintain what you build.
L1L3M2Your team helps define the workflow, approves access to your systems, and decides which actions require human review. Once the workflow is running, you handle those approvals and any exceptions that require your judgment. Marshal handles day-to-day agent operations, monitoring, and fixes.
M1Yes. Lindy documents support tasks such as ticket triage, reply drafting, and routing. Marshal builds and operates support workflows across your existing tools, as illustrated by its fitDEGREE case study. Evaluate both against your actual tickets and escalation rules, including how much work remains with your team.
L5M4Yes. Both offer approval and activity-record features, with details varying by plan and setup. With Marshal, you agree which actions agents can take independently and which require your approval. During evaluation, ask both providers to show how you review actions, inspect completed work, and handle exceptions.
M3L3L6Compare the cost of running the same workflow at the same volume. For Marshal, assess the price and scope of the managed work. For Lindy, include the software subscription, usage charges, and your team’s time configuring, reviewing, and maintaining the agents. Account for the human work that remains with either option.
M3L2The sources were last reviewed on September 5, 2026. This comparison is based on published product information, documentation, and pricing. It does not report a hands-on benchmark. Check the current plan details and confirm what is included for your workflow before purchasing.
Sources
Public sources checked September 5, 2026. Product availability is vendor-described. “Not verified” is a limit of this review, not a claim that Lindy cannot provide the service. Ask for a written scope for custom or enterprise offers.
Custom agents, knowledge and permissions.
Design, deployment and operating responsibility.
Workload tiers, approval controls and evaluation terms.
Reported support workflow and customer results.
Current team product, skills and shared context.
Seat pricing, credits and qualified trial conditions.
Administration, approvals and enterprise controls.
Published application connections.
Ticket classification, drafts and routing.
Action visibility and platform monitoring scope.
Connecting tools through MCP.
Machine-like is the services layer that bridges frontier AI and business operations.