Process automation
The repeatable workflow your team runs by hand, handed to a system.
Automate the work that should not be done by hand.
The reconciliation, the document handling, the ticket triage, the data hygiene, built on Conntinuum, our AI-native platform, as an automation layer you own, observe, and can hand to your team. We'll show you how we built our own business driven by intelligence automations, with AI capabilities added in where it makes sense, to eliminate nearly 90% of our administrative overhead costs. Not bots that break. Not Zapier sprawl. Jump into a Spark Lab session with one of our AI Automation Strategists who will guide you through initial discovery and then hand you off to our team of experts.
In practice
Common starting points.
A few ways Automate shows up. Find the one that sounds like you.
Document automation
The intake, extraction, and classification of the documents piling up in an inbox.
AI-augmented automation
Drafting, classification, decision support, and exception handling, with a person on the approvals.
Data automation
The reconciliation, deduplication, and hygiene that keep the records true.
Operational automation
The monitoring and routine triage that used to need a person watching a screen.
What we hear
Three ways automation becomes more work.
The RPA Rabbit Hole
“We bought into RPA. Bots that click through the screens a person used to click through.”
“It worked until the vendor changed a button. Then the bot broke, and now we have a small team whose whole job is keeping the bots alive.”
“We automated the task and created a new one: babysitting the automation.”
The Zapier/n8n Sprawl
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“It started with one handy connection between two tools. Then forty more.
Now there's a web of Zaps and n8n flows that someone set up, mostly works, and nobody fully maps. When one breaks, we find out because a customer tells us.”
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“The automation is real, but it's federated, fragile, and owned by no one.”
The Manual Reconciliation Tax
“Every month, someone on our team exports from one system, imports into another, and spends three days making the numbers agree.”
“The systems don't talk, so a person is the integration.”
“It is careful, important work, and exactly the kind a person should never have to do by hand.”
The work
What we've automated.
One flagship build and a set of patterns we see again and again. Each starts by finding the work worth automating, then proving it in production. Cards marked Illustrative are representative patterns, not a single named engagement.
Outcome
Industry
Filters
Scroll for more examples →
Consumer & Retail
For a multi-brand consumer products company, we surfaced customers' repeating customization requests as selectable options, and automated the supply-and-demand loop that kept causing stockouts. AI surfaces the patterns; people approve what becomes a product option.
60%
per-order margin recovered
90%
fewer out-of-stocks
Engineered with Conntinuum
Financial Services
An accounts-payable team's invoice processing automated with AI extraction and classification, with exceptions routed to a person.
Engineered with ConntinuumIllustrative
Consumer & Retail
A software company's support ticket triage automated, with AI-drafted tier-one responses and pattern detection for emerging incidents; people approve every send.
Engineered with ConntinuumIllustrative
Manufacturing & Construction
Cross-system inventory reconciliation across ERP, WMS, and order management, with anomalies classified for review.
Engineered with ConntinuumIllustrative
Technology & Software
CRM data hygiene automated for a company whose records are its customers: deduplication, enrichment, and lifecycle staging.
Engineered with ConntinuumIllustrative
How it works
How an Automate engagement works.
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01
Start the conversation.
Open Spark Lab and map the manual work you want gone, or book a call if you've already done that. Either way, the first thing we do is decide whether automation is even the right answer. Sometimes it's Build, Modernize, or Strategize.
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02
Capture the spec.
We turn the manual process into a clear, testable spec, held on Conntinuum, including where a person stays in the loop.
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03
Estimate.
Scope, cost, and the date we commit to, against that spec.
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04
Build.
Our spec-driven AI agents accelerate the build, orchestrated by senior product managers, designers, and engineers who decide and approve. You get automation that is observable and documented, not a black box.
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05
Deploy, observe, and hand off.
We ship on the date we committed to, and hand off automation your team can watch, understand, and own.
Engagement shapes
Pick the shape that fits.
Three ways to buy an Automate engagement, and when each is the right call.
Outcome-Based
A bounded automation target, milestone-priced against working software. True fixed-scope.
When it fits: the process is well-defined and you want a fixed budget and date.
Forward-Deployed Product Engineering (FDPE) Pods
An embedded senior team running a continuous automation function across departments, AI-native and continuous. More flexible than Outcome-Based: you can lead and redirect as priorities shift.
When it fits: automation is an ongoing program, not a one-time project.
Advisory Retainer
A sparring partner for your own automation team. Judgment, not labor.
When it fits: you have the builders and want senior direction.
The platform
How Conntinuum powers Automate.
Automate runs on Conntinuum, our AI-native platform. It captures the process you want automated as a clear, testable spec, and holds it as the single source of truth from estimate through deployment, with security, traceability, and observability built in. Our spec-driven team of AI agents accelerates the build, orchestrated by our senior product managers, designers, and product engineers, who hold final approval before anything ships. That is how you get automation that is owned and observable, not another fragile bot, and how we can say "delivered when promised" and mean it.
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Forge
The same standard, a smaller budget.
AI changed the math on what automation costs. The reconciliation and data work that used to be too small to justify a custom build now fits a smaller budget. Forge is where that work lives: the same platform, the same people, the same standard, in a budget shape built for small and growing businesses. Same firm. Same platform. Same Promise. Different budget shape.
Automate
Build
Build+
Same firm. Same platform. Same Promise. Different budget shape.
Take a look at Forge → →Honest routing
When Automate isn't the right call.
Automate is not always the answer, and we'll say so.
- If the system the work happens in is the actual problem, that is Modernize →
- If you need a new system, not an automation layer, that is Build →
- If you bought a platform that should do this, that is Implement →
- If it's running and needs a team to keep it healthy, that is Operate →
- If you haven't decided what's worth automating, that is Strategize →
You don't need to stress about where to start. Just get in touch and we'll guide you to the correct solution.
The Promise
If we cannot see real value for you in the work you want and how we deliver it, we will tell you. Before you sign. Before you spend.
That is the Promise, and it is operational, not aspirational. We surface what you are trying to do, we route it to the right outcome, and we tell you whether we think the work is the right call for you. Sometimes the answer is "this is the wrong shape" or "you need a different firm." Sometimes it is "we can do this, but here is what it costs, and here is when it lands." We would rather lose the work honestly than win it and not deliver the value you need.
Get started
We're ready, wherever you are on your product journey.
Start hands-on. Open Spark Lab and map the manual work you want gone, before you talk to anyone. Prefer to start with a conversation? Get in touch and we'll point you to the right outcome.
If we are, we will tell you what the work looks like. If we are not, we will tell you that too, and point you toward someone who is. Sometimes the right answer is "not yet."
Technology and AI solutions, delivered smoothly. Engineered with Conntinuum.