Agentic operationsthat improve how your team works
Your teams make their own work autonomous. They keep control of the judgment that matters.
“I'm not technical. I don't think of myself as a software builder; I'm an accountant. But this is the first time in my career that I can take a vision for how I wish my job worked, and how I wish my team could collaborate, and we can make it happen.”
Gregory Schroeder, Controller, MGT Insurance
Most AI transformation is outside-in.
We think it's better to start with the teams.
Workflows get designed centrally and rolled out onto the team.
The team is handed a workflow. Adoption depends on a mandate. The process is hard to change.
Leadership sponsors.The team builds.
The people who know the operations best build the agents to take work off their plate. Adoption spreads because the builders are the users. When the process changes, they change it that day.
You focus on the outcome. Malleable turns the work into an agentic operation that improves over time.
Your team brings the expertise and makes the judgment calls. No engineers required.
Describe the work. Shape the operation.
Start with the outcome, not a blank canvas of triggers and nodes. Brief Malleable like a new hire, then refine the operation together as the Architect translates your intent into goal-driven stages, decisions, handoffs, clear criteria for success, and integrations with the apps you already use.
Determines what the operation needs next
Traditional automation follows the next predefined step. Malleable's Orchestrator evaluates each stage against its goal and uses judgment to determine what is needed next: whether to proceed, gather more information, take another action, change paths, or involve the right people and systems. It coordinates those decisions and dependencies until the outcome is reached.
Improves through real work
Every execution teaches the agentic operation how to become more reliable, efficient, and precise. The Architect identifies patterns, proposes improvements, and progressively standardizes what should become predictable, while preserving judgment where the work remains nuanced. It also optimizes model routing and cost over time. Your team reviews and approves what changes.
Generates purpose-built interfaces around the operation
Your team shapes the agentic workflow. Everyone else receives a focused interface generated for their specific role, action, or decision. Because the workflow remains visible and editable, the interface, process, and documentation stay in sync: easy to understand, change, and maintain.
Full judgment, without the full bill.
A powerful AI agent can do almost anything once, for a few dollars a run, rethinking 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 that follows the 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.
Customer Spotlights
Custom-order routing, insurance form review, field-service paperwork, warranty and repair claims, purchase approvals. Explore customer stories →
"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.
"We save 30 hours a month, which by itself is dramatic for a small team. What's more important is that we now have the space to use our actual experience and give leadership guidance on what needs to happen. This lets us finally spend our time on the strategy we were actually hired to do."
MGT Insurance is an AI-native insurance carrier for small businesses. Their three-person accounting team answers to auditors and regulators, and the tools they'd tried never fit NetSuite.
Now they've built over 50 operations themselves, with no engineering involvement. Malleable prepares journal entries, triages overdue bills from Ramp, and flags duplicate payments, and nothing posts to NetSuite until an accountant approves it. The team saves 30 hours a month.
"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.
"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.
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Learn from operators leading inside-out transformation.
The community publication for AI transformation leaders. Written by the people rebuilding their own work.
Coding is no longer the hard part
AI removed the coding barrier. It did not teach everyone how to build the right thing.
Alan Chang · Product Management DirectorAutomate your step, then let the bottleneck show
You do not need to wait for a company-wide transformation to make progress with AI. Automate the part of the process you own, then use the clarity it creates to show everyone what needs to change next.
Gregory Schroeder · ControllerYour first version with AI loses to doing it by hand
Building an AI workflow usually takes longer than the task it replaces. It takes time to reach the version that saves time.
Logan Karam · AI Program DirectorStart with the outcome. Malleable takes it from there.
Brief it like a new hire and the operation is running in days, not quarters. It improves with every run, your team keeps the judgment that matters, and everyone else gets an interface built for the one decision that's theirs.