80% of work that "needs humans" just needs context.
You've automated the obvious. Rules handle the simple stuff. But the complex stuff doesn't actually need humans. It needs judgment.
You've automated what you can. Payments trigger receipts. Form submissions route to the right place. The obvious stuff is handled.
But there's a ceiling. And above it, everything still needs a human. Not because the work is creative or relational. But because your automation can't make judgment calls. It can't weigh factors. It can't know when the rules don't apply.
So your team spends time on decisions that feel automatic but aren't. Triaging tickets. Routing leads. Reviewing submissions. Work that follows patterns, but patterns too complex for simple rules.
There's an entire layer of work between "rules can handle it" and "humans must handle it." That layer is where intelligent workflows live.
Rules-based automation works until it doesn't. Here's why:
"If lead score > 80, route to sales." Simple. But what if the score is 78 and they just visited pricing three times? Rules check boxes. They don't weigh factors.
A support ticket that says "urgent" might not be. A ticket that says "quick question" from your biggest customer might be critical. Rules see words, not stakes.
When a rule makes a bad call, someone fixes it manually. Then adds a new rule. Rules accumulate. They don't improve. The system gets more complex without getting smarter.
The problem isn't your rules. It's that rules are the wrong tool for judgment. You need automation that understands context.
Intelligent workflows know more than the immediate input. They know the customer's history, the current workload, the time of day, the patterns that matter.
Context assembly, data enrichment, real-time queries
Not just if-then. Weighing factors, considering trade-offs, handling ambiguity. The same capability that makes your best people effective, encoded into systems.
Weighted scoring, decision trees, threshold logic
Knowing when to act and when to route to humans. Handle the 80% confidently and surface the 20% that actually needs human judgment.
Confidence scoring, VIP rules, exception routing
When outcomes don't match intent, the system improves. Not through more rules, but through better judgment.
Feedback loops, threshold adjustment, outcome tracking
It's not about AI for the sake of AI.
It's about automation that actually understands your business. Process + Decision System architecture.
We build workflow systems tailored to your specific operations.
Your decision patterns mapped and encoded
Process discovery, state machines, trigger specs, decision trees
Data sources connected for real-time decisions
API integrations, context assembly, caching layer, schema mapping
Know when to act vs. when to route to humans
Confidence thresholds, VIP rules, exception patterns, queue management
Systems that improve from outcomes
Override capture, threshold adjustment, A/B testing, audit trails
Intelligent workflows handle the work that feels like it needs humans but follows patterns.
Lead comes in. Someone reviews it, checks the company, evaluates fit. Takes 2-4 hours per batch. Inconsistent across team members.
90% handled correctly, automatically. Hot leads to sales, warm to nurture, poor fits to polite decline. Humans see edge cases only.
Ticket arrives. Someone reads it, categorizes, assigns. Different people triage differently. Urgent issues sometimes wait behind routine questions.
70% resolved or routed without manual triage. VIP customers always get human response. Urgent issues surface immediately.
Content submitted. Editor reviews for quality, brand voice, accuracy. Back and forth on revisions. Editorial becomes a bottleneck.
Auto-feedback on style, structure, compliance. Only escalates to human editor when auto-checks pass. Editor time goes to high-value review.
Your expertise is automatically applied. Incoming work is evaluated against your knowledge. Decisions happen without looking things up.
From "searchable docs" to "automated judgment"
ExploreReal-time data becomes the context for automated decisions. Workflows see current state, not stale snapshots.
From "batch processing" to "real-time judgment"
ExploreEach piece is valuable alone. Together, they multiply. Workflows that know your business AND see live data AND apply your expertise aren't just better. They're a different category of capability.
If we disappeared tomorrow, your workflows keep running. That's what ownership means.
The Standard
No vendor lock-in.
No black boxes.
Complete ownership.
Not sure? That's what the discovery call is for.
45 minutes to explore your operations, identify where intelligent workflows would have the highest impact, and see if our approach makes sense. No pitch. No pressure.
Questions from founders whose automation kept breaking on real work.
Traditional automation follows rigid rules. When something unexpected happens, it breaks. That's why 30-50% of RPA projects fail, and for every successful bot, there are ten that didn't make it. Intelligent workflows are different. They're built with exception handling as a first-class concern, not an afterthought. When something unexpected happens, the system applies judgment: can this be handled automatically, or does it need human attention? The 80% that fits the pattern runs automatically. The 20% that doesn't gets routed appropriately instead of failing silently.