Give your team
the time back.
Your people spend too much time on repetitive work that software and AI should handle. We find the most expensive manual work, redesign it, automate it, and measure the difference.
The problem
"Our people spend too much time performing repetitive work that software and AI should handle."
It rarely shows up as one big problem. It's hours lost every week to copying data between systems, chasing approvals, building the same report, and answering the same questions. Across a team, that adds up to real cost — and slower service for customers.
Flagship engagement
The Secure Cloud Automation Sprint
Five steps, in this order. The order matters: we fix the process before we automate it.
- 1
Discover
Map the current workflow and establish the baseline — how long it takes, what it costs, where it breaks.
- 2
Redesign
Remove unnecessary steps before automating anything. Automating a bad process just makes it fail faster.
- 3
Automate
Use workflow automation, integrations, and AI where each is the right tool for the step.
- 4
Integrate
Connect the tools you already use instead of automatically replacing them.
- 5
Measure
Compare time, cost, throughput, quality, or cycle time before and after.
What we automate
Representative workflows — if your team does it repeatedly and it follows a pattern, it's worth a look.
- Lead qualification
- CRM administration
- Proposals
- Customer onboarding
- Scheduling
- Support
- Document processing
- Data entry
- Reporting
- Approvals
- Internal knowledge
- Forms and applications
- Customer communications
Manual today
After automation
Re-keying form submissions into three systems
One submission updates every system it needs to
Chasing approvals over email
Manual approvals turned into a tracked workflow
Building the same report by hand every week
The report assembles itself from live data
Answering the same internal questions repeatedly
Staff find answers in a searchable knowledge source
Illustrative examples of the kind of change we make, not results from a specific customer.
AI where it helps
AI is one tool among several. We use it for steps that need reading, summarizing, classifying, or drafting — and use plain automation for everything else. Every AI step is designed with access controls and human review where the stakes call for it.
Engagement & investment
Automation engagements typically start around $20K.
After launch, we can stay on to support, monitor, and extend what we built.
Common questions
- What is an Automation Sprint?
- A focused engagement to take one or more expensive manual workflows, measure how they work today, redesign them, automate and integrate the result, and compare the before and after.
- Do you build AI agents?
- When they're the right tool, yes. But we start with the business outcome. Many workflows are better served by straightforward automation and integrations, with AI used only for the steps that genuinely need judgment or language understanding.
- Will we have to replace our current software?
- Usually not. We connect the tools you already use wherever that makes sense, and only recommend replacing something when it's genuinely the constraint.
- How do you measure success?
- We establish a baseline before changing anything — time spent, cost, throughput, error rate, or cycle time, depending on the workflow — and measure the same thing afterward.
- How much does automation cost?
- Automation engagements typically start around $20K, depending on the number and complexity of workflows.
What does your team do by hand every week?
Tell us about the workflow. We'll tell you whether it's worth automating — and what it could save.