AI FOR HOW WORK RUNS
Your processes exist. Nobody can see them.
Tricky Wombat connects SOPs, tickets, runbooks, and the tribal knowledge in chat into a single process view. Ask how work gets done. Get the path people follow, not only the path written down.
WHY PROCESSES STAY HIDDEN
Documentation rarely matches the process people run
SOPs live in Confluence. Exceptions live in Slack. Approvals live in email. Handoffs live in tickets. The official process and the process people run are rarely the same thing.
When ops, finance, or compliance asks how this work runs, the answer is a meeting. Often three. Process Mining surfaces the real workflow from the systems and conversations where work already happens, so you see bottlenecks, gaps, and shadow steps without another workshop.
ENTERPRISE-GRADE INFRASTRUCTURE
How It Works
Context First - Better answers are won before the model ever responds
Tricky Wombat is built on a simple idea: the quality of an answer is determined before the model produces a single token.
Most process tools pitch a diagram or a bot. Connect your data. Trust the output. That approach fails because the model is the last 5% of answer quality. The other 95% is determined by what reaches the model: how the question is interpreted, how sources are selected, how context is assembled, and whether the result is evaluated before your team sees it.
Tricky Wombat controls every stage of that pipeline. Each step is a separate engineering problem, and we treat it like one.
Clarify the real question
A lookup for the current approval path needs different retrieval than a synthesis across six months of tickets. Someone asking "Who signs vendor contracts over $50k?" and someone asking "Where do refunds stall between support and finance?" should not hit the same retrieval path. The system classifies the question type and routes it to the strategy most likely to return an accurate answer.
Retrieve the most relevant information
More documents in the context window make answers worse, not better. Hybrid search and reranking across SOPs, tickets, runbooks, and chat return fewer, higher-quality results. The goal is precision, not volume.
Assemble context for this question
Retrieved material is compressed, deduplicated, and scoped to the process question. Stale SOPs and redundant ticket noise are stripped. The model receives what it needs for this workflow and nothing else.
Generate against defined quality rules
Guardrails are set before the model runs: cite sources, stay within the evidence, flag uncertainty. The model does not improvise what a good process answer looks like. The pipeline defines it.
Score the result and improve the pipeline
Each answer is scored for faithfulness, relevance, and completeness. Results that fall short are caught before your team sees them. Scoring data feeds back into retrieval tuning, context assembly, and ranking. The system improves with use, not just with more data.
HOW PROCESS KNOWLEDGE CONNECTS
Process steps are not isolated documents. Your search should not treat them that way.
An SOP references the same approval chain as a ticket form. A runbook maps to the incident path support follows. Chat threads hold the exceptions that never made it into the binder.
Most tools flatten this into a keyword index. They treat every document as independent text. The relationships between steps, the ones your teams built through months of work, disappear.
Tricky Wombat's retrieval layer maps those relationships across your operational knowledge. Related content stays grouped so a question about a workflow surfaces the SOP, the ticket path, and the exception thread together, even when they live in different tools. The result is a process view drawn from the right cluster of evidence, not a keyword list limited to one system.
One process
1 view
SOPs, tickets, runbooks, and chat exceptions assembled into a single sourced answer.
Discovery workshops
0 needed
Ask how work runs instead of scheduling another walkthrough to reconstruct the path.
Live in
1 Week
Connect process sources and start asking how work gets done across the tools you already use.
Enterprise Security
Your data is protected at every layer
Every component in Tricky Wombat's stack is independently audited. Documents use AWS which is SOC 2 Type II certified and HIPAA-eligible. Vector embeddings live in SOC 2 Type II certified and GDPR-ready vector stores. The application layer runs on Vercel with automatic HTTPS and DDoS protection. Every service in the stack is one your engineering team has already vetted.
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Encryption at
Every Layer
AES-256 encryption at rest across S3, DynamoDB, and Pinecone. TLS 1.2 in transit. Automatic HTTPS via Vercel.
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Vendor
Audited Infrastructure
Every service in the stack is independently SOC 2 Type II certified. DynamoDB is ISO 27001 and HIPAA-eligible. Pinecone is GDPR-ready.
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Zero Training on
Your Data
No component of the pipeline trains on your data by default. Your information is used to answer your queries and nothing else.
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Vanta-Managed
Compliance
SOC 2 Type II and ISO 27001 certification in progress, managed through Vanta's continuous compliance monitoring platform.
SOC 2 in Progress
In progress via Vanta
ISO 27001
In progress via Vanta
AES-256 Encrypted
Data encrypted at rest
TLS 1.2 in Transit
Data encrypted in motion
Zero Data Retention
Your data stays yours
Built on AWS
Enterprise-grade infrastructure
PROCESS SOURCE COVERAGE
Other process tools need event logs. Tricky Wombat reads the knowledge where work is described.
Classic process mining waits on complete system event logs. Tricky Wombat starts from the knowledge layer your teams already maintain: procedure docs, ticket histories, runbooks, shared drives, and chat. Direct integrations connect those sources. Apache Tika extracts text across more than 1,000 file formats inside them. The result is process visibility when logs are incomplete, siloed, or missing the human exceptions that define how work runs.
What teams are finding
“Finding what I'd said on a given topic across my books, talks, and interviews used to mean hours of manual searching. Now my team asks a question and gets a sourced answer pulled from everything I've published. Content I forgot I created surfaces exactly when it's relevant.”
Chip Conley
Founder of MEA & Joie de Vivre Hotels, Strategic Advisor to Airbnb
“My practice has decades of financial planning content across client engagements, mentorship sessions, and published frameworks. Tricky Wombat connects all of it. When I need to pull together ideas from across my body of work, the search finds the relevant pieces and brings them together in one answer.”
Ron Nakamoto
Founder of True Wealth Mentorship, Certified Financial Planner, Financial Coach
PROCESS MAPPING
Ask how work runs. Get the path mapped end to end.
Most search tools return documents that mention a process. They leave your team to reconstruct the path: who starts it, where it stalls, which exception routes are real, and which steps only exist in tribal knowledge.
Tricky Wombat treats process questions as mapping problems. When someone asks how vendor onboarding works or where refunds break down, it pulls related SOPs, tickets, runbooks, and conversations into a coherent process view: steps, handoffs, and decision points in order.
You do not get a stack of source files to reassemble. You get a map of how the work actually moves, with citations back to the evidence that built each segment.
Leadership decisions stall when process reality is unclear. Automate the decisions that should not wait on another workshop
Executives, ops leads, finance, and transformation teams all need the same foundation: a trustworthy view of how work actually runs before they decide what to fund, automate, or change.
Most tools stop at diagrams or search results. They leave leadership to interpret the path, debate exceptions, and guess which decisions are safe to automate.
Tricky Wombat maps process reality from the knowledge your teams already maintain, so business decisions can move from tribal discovery to evidence-backed action.
HOVER TO EXPLORE
Decide with the real process map, not the documented one.
Decide with the real process map, not the documented one.
- Leadership asks where work stalls, which handoffs create risk, and which initiatives are worth funding. The official SOP rarely answers those questions.
- Today that means workshops, conflicting walkthroughs, and decisions delayed until someone reconstructs the path by hand.
- Process Mining gives executives an evidence-backed map of how work runs, so investment and intervention decisions start from reality instead of rumor.
Automate the steps that already prove themselves.
Automate the steps that already prove themselves.
- Ops leaders know which queues feel broken, but they still need a clear path before they can safely automate handoffs, approvals, or escalations.
- Without a mapped process, automation projects guess at steps and break on the exceptions that never made the binder.
- Process Mining shows the real sequence and the exception routes, so automation targets the proven path instead of the aspirational one.
Approve against the path work actually takes.
Approve against the path work actually takes.
- Finance and risk decisions depend on knowing who approves what, where controls sit, and which exception paths bypass the intended chain.
- When those paths live in tickets, email, and tribal knowledge, every audit or policy change starts with discovery instead of judgment.
- Process Mining surfaces the real approval and control paths so leaders can decide with the process as it runs, not as it was written.
Prioritize change where the evidence is strongest.
Prioritize change where the evidence is strongest.
- Transformation programs stall when every team nominates a different bottleneck and nobody can prove which one matters most.
- Roadmaps built on workshops and anecdotes compete with each other instead of converging on the highest-impact path.
- Process Mining ranks automation and redesign candidates from mapped evidence, so transformation leaders fund the changes that move the business.
Everything You Want to Know
Frequently Asked Questions
Classic process mining tools reconstruct flows from system event logs. Tricky Wombat starts from the knowledge layer: SOPs, tickets, runbooks, and conversations, where process reality is described and debated. That helps when event logs are incomplete, siloed, or missing the human exceptions that define how work runs.
Procedure docs, wikis, ticket systems, shared drives, chat archives, and other operational knowledge your teams already maintain. The goal is a single place to ask how work gets done across those sources, with answers that cite where they came from.
Operations, transformation, compliance, and automation teams inside mid-market and large enterprises that need to understand internal processes before improving or automating them. If process knowledge is scattered and every change starts with tribal discovery, this is built for you.
Documents use AWS, which is SOC 2 Type II certified and HIPAA-eligible. Vector embeddings live in SOC 2 Type II certified and GDPR-ready stores. The application layer runs on Vercel with automatic HTTPS and DDoS protection. No component of the pipeline trains on your data by default.
Connect a process source, ask how a real workflow runs, and inspect the sourced answer. One call is enough to see whether the knowledge layer covers the paths your team cares about. No commitment required.
Most teams connect initial sources and ask process questions within a week. Scope depends on which systems hold your SOPs, tickets, and runbooks, not on rebuilding event-log pipelines first.
See how it works with your data
Connect a process source, ask how work runs, see what comes back. One call. No commitment required.
Book a 20-minute fit call