The hard part of business sits between your CRM, ERP and support tools. A signal appears, evidence is scattered, people hand off, and the job stalls. WildButter gives that work an owner, a record and a confirmed result.
Sales · Service · E-commerce · Supply Chain · Operations · Working Capital
Most AI at work either searches your documents or chats with your data. Both are useful. Both stop at an answer and hand the rest back to you. Pick a situation and compare.
A key customer has an invoice 45 days overdue, a priority support ticket open for a week, and a renewal in 30 days.
“Here are 7 documents that mention this customer: the master agreement, last quarter’s review deck, and a thread about the ticket.”
Still on youEnds at an answer
“This customer’s outstanding balance is $182,400, 45 days past due. Here is the aging trend by month.”
Still on youEnds at a chart
Opened a commitment on the customer record linking the balance (ERP), the ticket (support) and a dated relationship-risk assessment. Held collections until the ticket closes.
Done, with evidenceEnds at a confirmed result
Every team has a job that keeps falling between people. Pick one and watch a WildButter agent work it, from the first signal to a confirmed result. It stops and asks you before anything that needs your OK.
A customer’s parcel hasn’t moved in three days. They’ve emailed twice, and three people on your team each think someone else is handling it.
Checking 1,240 open orders against the latest carrier scans.
Order #4471 has had no scan for 72 hours. The customer has emailed twice.
The carrier reports a hub delay. The same item is in stock at the second warehouse.
Plan: reship from the second warehouse, cancel the stuck parcel, apologise with a 10% coupon.
Reshipping costs extra shipping. Approve the plan?
Reshipped. The customer has the new delivery date, the ticket is closed, and the receipt is on the order.
Delivery scan received. Job closed.
Illustrative examples. Your agents follow the rules, approvals and limits you set.
Each team gets its own workspace with records, agents and workflows, configured for how it works. Sharing between workspaces is explicit. Every field keeps its owner, origin and freshness.
Keeps every account, opportunity and promise moving. Agents watch stage changes and open commitments, then prepare the next step for the owner.
A Knowledge Pack brings the language, definitions and proven workflows of an industry. An Application Pack turns that into objects, agents and screens. Install both, approve what they touch, and connect your own data.
SKUs, variants, marketplaces, carriers and return windows
The terms, objects and rhythms of your industryFulfilment, customer service and growth marketing
How a team like yours works“Days of cover” = stock on hand ÷ 7-day sales pace
Exact definitions of the numbers that matterLate order → reroute or notify → make it right within policy
Proven ways to handle recurring situationsOrder, SKU, Shipment, Return and Campaign, mapped from your storefront, warehouse, carriers and helpdesk
Order Rescue and Stock Guard agents. Rule: refunds above policy need approval
Late-orders queue, stock risk board and campaign pause approvals
Late orders get fixed before customers chase, and ads stop before stock runs out.
Start with an outcome like “run customer follow-through”. Bind objects to approved sources, preview pages and work queues, then publish.
Define the business job, its knowledge, models and tools, the typed output it returns, and the authority, limits and budget it runs under.
Triggers, research, rule checks, human decisions, scheduled waits and parallel work, with branches and recovery built in.
Publishers and specialists create packs; each version is validated for quality and rights. Your configuration and data stay in your private installation, separate from the reusable pack.
A WildButter agent owns a recurring responsibility for an account, supplier or contract. It persists between runs, acts on relevant changes, and works only within the authority you give it.
Carries out exactly what a person approved, nothing more.
Completed steps persist
Human input or approval
Provider exception recorded
Remaining work continues
Outcome evidence retained
Every external action records intent, attempt and receipt. Anything unresolved stays visible as an exception instead of disappearing.
Every application runs the same loop around a persistent business record, so context, decisions and outcomes stay in one place and improve over time.
The operating loop runs one job. Across many jobs, each agent builds a graph of what it saw, what it did and what actually happened. Patterns become proposed rules, and approved rules change what it watches next.
An approved, versioned rule with its evidence attached, scoped to a workspace or the organization. It shapes what the agent watches next.
Rule v4: hold payment reminders while a priority ticket is open. Approved by the finance lead. Re-check in 90 days.
Learned rules are proposed, evaluated, versioned and approved before agents use them.
Knowledge stays in the scope it was learned in: agent, workspace or organization, inside your installation.
Every rule links back to the cases and outcomes it came from, and is re-checked on a schedule.
Illustrative example. What an agent may learn, and who approves it, is set by you.
Identity and policy apply at every step an application takes, from reading data to acting in another system, with audit evidence throughout.
Hosted by WildButter in selected regions.
Run the application and models inside your own boundary.
Residency covers documents, memory, embeddings, logs and backups.
Our information security management system is certified to ISO/IEC 27001:2022, covering product, people and infrastructure.
An independent SOC 2 Type II audit is underway. Ask us for current status and our security documentation.
WildButter is working with a small group of early customers. Tell us about a business job that keeps stalling between your systems.
info@yottix.com