Your operations are bespoke.
Now your software can be, too.
Tools have promised this for years and never delivered. Malleable lets your team describe what should happen in plain English and examples, like briefing a new hire. No engineers required.
AI agents turn that brief into a deep understanding of your process, run it directly, and evolve it over time. Your team stays in control at every step.
Want to learn more? Paste this into your favorite AI, and see where Malleable could help your team.
Look up Malleable (usemalleable.com). Based on what you know about my team and goals, where could it help us, and how does it compare to our existing tools?
“Most tools help you stand a workflow up. The real work is what happens after.Malleable powers our team to adjust workflows as fast as our business moves, instead of rebuilding from scratch.”
Melissa Chi, Chief Operating Officer, PathpointYou focus on the process.
Agents handle the implementation.
Describe how the work should run.
Explain what you'd like to happen. AI will co-create the workflow (a kickoff, stages, a decision with two paths), asking questions when it needs input.
Then it runs. For real.
An efficient agent walks the workflow stage by stage. The workflow structure forms its guidance and possible actions.
In this case, it reads the playbook and applies the routing rules. When in-house comes in over the budget cap, it doesn't guess which path to take. It pings Riley in Slack with the context and waits for the calls.
Before committing to the vendor, it sends three approvals in parallel and flags the trade-off. Every step is recorded, so you can always see what happened and why.
You just changed your software.
Malleable noticed an improvement, from a recent run. One click, an answer for how to handle budget overruns. No ticket, no central team, and the next run follows it.
Why isn't this already solved?
Because the hard part was never the software. A process starts in one or two heads, then spreads across teams, tools, and exceptions until no one can see the whole thing end to end. And you can't safely change what no one fully understands. Every fix runs into the same trap:
Automation tools
The process gets buried in the wiring of six apps. When something breaks, it's archaeology.
See full comparison →Raw AI agents
The process runs inside a black box. Impressive in a demo, unexplainable in production.
See full comparison →Custom & vibe-coded builds
The process freezes into code nobody fully understands. Including, soon, whoever wrote it.
What changed is that AI agents can finally do both halves: run real operational work, and build the understanding of the process in the open, where your team can see it and change it.
Raw capability isn't enough. A raw agent drifts; you can't observe it, and you can't iterate on it. What makes it dependable is the scaffold around the agent: the stated process, the guardrails, and the record of every run.
We spent a decade building work management and AI products. Building that scaffold is what we do.
Every stage carries its own guardrails: the outcome, the required actions, the allowed apps, and where the agent can use judgment.
Apps are easy. People are the hard part.
Most of a real process runs on people: approvals, reviews, handoffs. Malleable coordinates that part too, not just the software.
One link, just their context
Each person gets a secure link or form with only what their step needs: the two numbers to check, the one decision to make. No re-reading 30 pages of context, no filling out an entire form when only one clarifying question is needed.
Knows whose yes matters
Ten sign-offs where one is required and the rest are optional. A must-have approval that any of three managers can give. Describe the rules and Malleable orchestrates it, waiting days or weeks if it has to.
Nudges, then escalates
No reply to the email? Ping them on Slack or Teams. Still nothing after a few days? Ask their manager. The chasing you'd do by hand, described once and handled on every run.
Rolls up to the owner
A weekly audit across 24 job sites rolls up into one view: who answered, who had to be chased, what's still open. The summary lands with whoever owns the process.
Full judgment, without the full bill.
A powerful AI agent can do almost anything once, for a few dollars a run, re-thinking every step from scratch. Now do it a hundred times a week.
Malleable keeps what the agent figured out as the workflow's structure: the steps, the rules, who to ask, a script or an API call for the parts that never change. Every run after follows that plan instead of reasoning the job out again, and smaller, faster models carry it by default. Same judgment where it matters, at a fraction of the cost.
And when something upstream changes and a step breaks, the AI steps back in, keeps the run moving, and proposes the fix. You approve it. You never touch the plumbing.
Change the process yourself. In plain English.
Malleable keeps working on the process after launch. It learns from your team's feedback, watches live runs, and audits the process weekly, then proposes changes. You decide what to keep.
And when the business changes, you don't file a ticket or wait on a central team. You say what should be different, and the software changes. Malleable keeps what normally evaporates: the reasoning itself, why the process works this way, and the record of how it got there. It stays safe to change long after the people who first shaped it have moved on.
Software built by the people who run the process.
Research each lead before drafting outreach
The research step only pulls title and company today. Add recent funding, hiring, and product news so there's a real reason to reach out.
Check the CRM before treating a lead as new
Some scanned badges are already in active deals. Look each lead up in Salesforce and past email threads first, and hand those to the account owner instead of cold-pitching.
Draft from the session the lead actually attended
Right now everyone gets the same template. Pull the talk or booth demo each lead engaged with and open the email with that.
Customer Spotlights
Custom-order routing, insurance form review, field-service paperwork, warranty and repair claims, purchase approvals. Browse the showcase →
"Streamlining our workflows used to mean building Rube Goldberg machines across automation tools, and any small change in a spreadsheet would break the whole thing. With Malleable, when something changes upstream, the workflow adapts."
Pylon is a modern customer support platform. Their post-sales team is on the hook for every new deal. As the company grows, that's more multi-week migrations than anyone can meet with weekly.
Malleable runs the heartbeat: hand-offs from pre- to post-sales, follow-up drafts with the right docs linked, and semi-weekly pulse checks across each migration. It replaced a brittle chain of automations stitched together across half a dozen tools. The team stays on track without worrying something's slipping.
"My favorite part of using Malleable is how easy it is to iterate on. I am not an engineer, and have previously been intimidated by complex LLMs. While Malleable uses them under the surface, the interface is simple and self-improving. It proactively drafted a change, explained it, and asked if I wanted to roll it out."
Pathpoint is a wholesale insurance brokerage. Every policy, carrier, and state has different rules and norms, and their operations team has to efficiently scale as the business changes.
Now Celeste, leading an operations team of 24, can streamline her team's operations herself. She works with Malleable in plain English, like a teammate, adding new workflows to handle different types of form review that can easily highlight errors to the agent for speedier review and remediation.
"Saved me so much time it's hard to believe. The workflow before Malleable feels like the stone age now."
Guidewheel is a factory floor monitoring platform. Their field techs work with customers and set up sensors in machinery, followed by hours of busywork to glue it all together. They live on the road, rarely at a desk. The Malleable workflow spread virally, without any training.
Now the techs can focus on the customers and the sensor work, leaving the busywork to Malleable.
Bespoke operations deserve bespoke software.
Describe the work like you'd brief a new hire. Malleable builds it, runs it, and lets your team change it in plain English. Getting started is a conversation, not an implementation project.