01
Workflow audit
Map of every repeating task, who does it, how long it takes, and where the friction points are. Honest baseline for what is worth automating.
Service 02 / AI Automation
Automate the work,
Automate the work,
integrate the tools.
We streamline and automate business workflows by integrating the tools you already use, eliminating manual tasks and reducing inefficiencies. From process mapping to system integration, we build scalable automation that drives consistency, clarity, and growth.
WOSB Certified
CMMC Registered Practitioners
SAM.gov · CAGE Code
35+ years experience
Pembroke Pines, FL
What you get
Artifacts and systems
Artifacts and systems
that move work forward.
02
Automation roadmap
Prioritized list of automation candidates ranked by effort, impact, and risk. Start with the wins; defer the experiments.
03
Integration architecture
Connect the tools you already pay for (Microsoft 365, your CRM, your finance system, your ticketing) without forcing a platform migration.
04
Error handling & exception flows
Automations break. We design the failure paths first so a glitch never turns into a customer-impacting outage.
05
Monitoring & observability
Dashboards and alerts that tell you when something stops working, before someone in the business has to.
06
Documentation & handoff
Every automation documented, every integration mapped, every credential stored properly. You own everything; we leave you self-sufficient.
How we do it
Three phases.
Three phases.
Steady cadence.
01. Discover
Find the right work to automate
Two to three weeks. We sit with your team, identify the repeating manual work, evaluate which pieces are good automation candidates, and produce a prioritized roadmap.
02. Design
Build before you build
For each automation candidate, we design the workflow on paper first: trigger, steps, decisions, error handling, success criteria. Nothing gets built until the design is agreed.
03. Deploy
Production-grade, not prototype
Build, test, deploy, monitor. Every automation includes monitoring and a documented runbook. We hand off when your team can operate it independently.
Who it is for
Three situations where
Three situations where
this work earns its place.
01
Tools sprawl
You have ten SaaS products that should talk to each other but do not. Your team copies data between them. Mistakes happen at the seams.
02
Manual repetitive work
Your team spends hours each week on tasks that are mechanical. They have not been automated because nobody had the time to set it up.
03
Growth blocked by ops
You could win more business, but operations cannot keep up. You need to scale without proportionally scaling headcount.
Frequently asked
AI Automation questions.
AI Automation questions.
Direct answers.
What kinds of work can be automated?
Anything repetitive with clear rules: data entry, status updates between systems, report generation, approval routing, document handling, notification chains, onboarding/offboarding tasks. If a human follows the same steps every time, it can usually be automated.
Which tools and platforms do you work with?
Microsoft Power Platform (Power Automate, Power Apps), Zapier and Make for SaaS connectivity, native APIs for everything else. For Microsoft Copilot Studio and Dataverse work specifically, see our specialty practice at mybothub.ai.
How is this different from "AI automation" buzzword stuff?
Most repetitive work doesn't need AI. It needs reliable, deterministic automation. We use AI where it actually helps (classification, extraction, summarization, drafting) and stay with deterministic automation everywhere else. AI for AI's sake creates fragile systems.
What about security and data handling?
Every automation operates on the principle of least privilege. Credentials are stored properly (secret managers, not in code). For regulated environments, we deliver under the relevant controls (HIPAA, NIST 800-171, CMMC). Data residency and access are scoped during design.
How do you measure ROI?
Time saved per week, error rate reduction, cycle time improvement, capacity reclaimed. We baseline before deployment and measure after. If an automation does not pay back its build cost within twelve months, we will tell you to skip it.
Tell us what you are
trying to get done.
The discovery conversation takes 30 to 60 minutes. We respond within one business day.