AI Automation: What Actually Works vs. What's Just Marketing
Cut through AI hype with real automation case studies. 15+ hours saved weekly with simple automation. When boring automation beats 'AI'.
Read MoreForget chatbots that just answer questions. We build AI agents that actually DO things—book appointments, process orders, update systems, and handle multi-step workflows autonomously.
Most "AI" just answers questions. That's not enough anymore.
Your customers and employees want things DONE, not explained.
Multi-step processes need an agent that can handle the full journey.
With AI agents, your team focuses on work that matters.
From simple task execution to complex multi-system orchestration.
AI that books, orders, updates, and processes. "Schedule a meeting with John next week" becomes a real calendar invite, not a suggestion.
Connect to your CRM, calendar, email, and databases. One agent that speaks to all your systems and coordinates between them.
Complex multi-step processes with decision logic. Order received? Agent checks inventory, calculates shipping, sends confirmation, updates CRM.
AI drafts, human approves, AI executes. Perfect for high-stakes actions where you want oversight without the grunt work.
Agents that watch for conditions and act. Low inventory? Agent reorders. Customer complaint? Agent escalates and drafts response.
Give your agent capabilities specific to your business. Proprietary systems, internal APIs, custom logic—we build the tools your agent needs.
We build agents that actually work in your real environment.
We identify which tasks can be automated, which need oversight, and which should stay manual. Not everything needs an agent.
We build the "hands" your agent needs—integrations with your systems, APIs to your data, and custom actions for your workflows.
We configure the agent's decision-making, teach it your processes, and set up guardrails to prevent errors.
We start with human-in-the-loop for all actions, gradually increasing autonomy as confidence builds.
We monitor agent performance, refine decision logic, and expand capabilities based on real-world usage.
A chatbot answers questions. An AI agent does things. A chatbot will tell you when your next meeting is. An AI agent will reschedule it, send updated invites to attendees, and update your CRM—all from a single request.
Yes, which is why we build in guardrails. For high-risk actions (financial transactions, customer-facing communications), we implement human-in-the-loop: the agent proposes, you approve, the agent executes. For low-risk actions, the agent acts autonomously with full audit logging.
Anything with an API or automation interface: CRMs (Salesforce, HubSpot), calendars (Google, Outlook), email, databases, Slack, project management tools (Asana, Monday), payment systems, and more. If there's no API, we can often build one.
A simple single-task agent takes 2-4 weeks. A multi-tool agent with complex workflows takes 6-12 weeks. We typically start with a focused MVP and expand capabilities over time.
We design fallback behaviors: escalate to human, pause and notify, or take conservative action. Every agent has clear boundaries and knows when to ask for help.
RPA follows rigid scripts—if step 3 fails, everything stops. AI agents reason about goals and adapt. If the usual path is blocked, the agent finds another way. It's the difference between a recipe and a chef.
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Read MoreLet's discuss what tasks are eating up your team's time—and how an AI agent can handle them.
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