Software & Integrations
Two ways to eliminate work
your team shouldn't be doing.
We build workflow automations for processes that are repeatable and predictable, and AI agents for tasks that require reasoning, judgment, and adaptability. Understanding which one fits your situation is the first thing we'll help you figure out.
The Distinction
Which one do you need?
Workflow Automation
A defined sequence of steps with a known trigger, known path, and a known endpoint. The outcome is predictable by design — the same inputs always produce the same result. Best for high-volume, repeatable processes where consistency and speed are the goal.
See workflow automation →
AI Agents
Given a goal, not a script. The agent decides what steps to take, adapts when something unexpected happens, and stops when the goal is achieved or it hits a guardrail you define. Best for tasks with variability, ambiguity, or that require judgment — where the path can't be fully scripted in advance.
See AI agents →
Not sure which applies to your situation? Many real-world solutions combine both — a workflow that handles the predictable steps, with an agent that handles the parts requiring judgment. We'll tell you honestly what your situation calls for.
Workflow Automation
Stop doing manually what a machine can do reliably.
Every business has processes — sequences of steps that happen over and over. A new customer fills out a form. Someone enters the data into a system. Someone else sends a confirmation email. A third person updates the spreadsheet. Workflow automation replaces those repetitive human steps with a system that does them automatically, consistently, and instantly.
The three building blocks are simple: a trigger (something that starts the process), logic (conditions that determine what happens next), and actions (things the system actually does — create a record, send a message, update a field, call another system).
When done well, workflow automation doesn't just save time — it eliminates entire categories of error. Humans make mistakes when they're tired, rushed, or dealing with ten other things. An automated process does the same steps the same way every single time.
Many powerful workflows contain no AI at all — they're pure logic. But AI can enhance them: adding a step that reads an email and extracts key information, scores a lead, or decides which branch a case should take. We build both, and we'll tell you honestly which one your situation calls for.
What You Get
Automation that works the way your business does.
Triggered automatically
A workflow starts the moment something happens — a form is submitted, an email arrives, a file is uploaded, a time of day is reached. No one has to remember to kick it off.
Branching logic
Not every situation is the same. Workflows can route differently based on conditions — send new clients one path, returning clients another, flagged accounts to a supervisor.
Connects your systems
Your CRM, email platform, accounting software, EHR, and ERP were never designed to talk to each other. Workflow automation bridges them without replacing them.
Runs 24/7
Automation doesn't take weekends, vacations, or sick days. Processes that used to wait for someone to show up on Monday run without delay around the clock.
Full audit trail
Every action a workflow takes is logged with a timestamp. When a question comes up — did that email go out? when was the record updated? — you have an exact answer.
Alerts when something breaks
Automation doesn't mean you stop watching. When a step fails — an API is down, a form field is missing, a threshold is crossed — the right person is notified immediately.
Use Cases
What it looks like for businesses like yours.
Law Firms
New client intake → conflict check → matter creation → welcome email → billing system enrollment. A process that took a paralegal 45 minutes becomes a two-minute automatic sequence.
Healthcare Clinics
Appointment request → insurance eligibility check → confirmation message → reminder sequence → post-visit follow-up survey. Front desk spends time on patients, not on chasing paperwork.
Real Estate Brokerages
Listing inquiry → lead score → agent assignment → CRM entry → automated drip campaign. No lead falls through the cracks because someone forgot to follow up.
Logistics & Freight
Delivery confirmation → invoice generation → accounts receivable update → client notification. Billing happens the same day as delivery, not three days later.
Non-Profits
Donation received → tax receipt issued → donor segment updated → thank-you letter sent → board report updated. Development staff focus on relationships, not data entry.
Manufacturing
Purchase order received → inventory check → fulfillment trigger → shipping label created → customer notified. Order processing that once required three people runs without manual steps.
Trades & Field Services
Job request → technician schedule check → booking confirmation → parts order placed → invoice drafted. From customer call to job completion with no office rework in between.
School Districts
Enrollment form submitted → student record created → class assignment logic → guardian welcome email → district system updated. Enrollment season runs without a stack of paper on someone's desk.
Don't see your industry? The same principles apply to almost any business with repeatable processes.
AI Agents
Not a chatbot. A worker that reasons, plans, and acts.
A chatbot answers questions. An AI agent does work. The difference is that an agent is given a goal — "review this contract," "research this prospect," "monitor these shipments and alert me to problems" — and it executes a sequence of steps to complete it, using whatever tools and information it has access to.
Here's a simple example. A chatbot can answer "what are the terms in this contract?" if you paste the text in. An agent can be told "review the contract that just arrived in the legal inbox, compare it to our standard template, and send a summary of the deviations to the responsible attorney" — and it will do all of that, without anyone manually orchestrating the steps.
Unlike a workflow, an agent doesn't follow a fixed script. It uses AI reasoning to decide what to do next at each step, which makes it suited to situations with variability, ambiguity, or tasks that don't follow a predictable pattern every time.
The critical design question is always: what can it do on its own, and where must it ask? We build that decision boundary into every agent we deploy.
What You Get
A purpose-built agent that operates within your rules.
Goal-directed reasoning
You give an agent a goal, not a script. It figures out the steps. If something unexpected happens midway through, it adapts — it doesn't crash or do nothing.
Tool use
Agents can search the web, query databases, read documents, send emails, update records, and call your business systems — any capability you authorize them to have.
Multi-step execution
Unlike a chatbot that answers one question at a time, an agent can run a complete task — gathering information from multiple sources, synthesizing it, and producing a finished output.
Human-in-the-loop controls
Agents can be configured to require approval before taking high-stakes actions — sending a message, modifying a record, or exceeding a dollar threshold. You define the guardrails.
Private and audited
We run agents on your own infrastructure. Every action is logged: what it was asked to do, what tools it called, what it returned. Full traceability, no black boxes.
Background operation
Agents can run scheduled tasks, monitor inboxes, watch for conditions, and act — without a human triggering every instance. Set it up once; it works continuously.
Use Cases
What agents are doing for businesses today.
Law Firms
A contract review agent that reads uploaded agreements, identifies non-standard clauses, flags deviations from your template, and produces a redline summary — in minutes instead of hours.
Healthcare Clinics
A prior authorization assistant that gathers the relevant clinical notes, checks payer criteria, and drafts the authorization letter for a clinician to review and submit.
Real Estate Brokerages
A research agent that compiles recent comparable sales, neighborhood trends, and property data, then drafts a market analysis that an agent can finalize and send to a client.
Logistics & Freight
A shipment exception monitor that watches your EDI feeds, identifies delays and discrepancies, drafts customer notifications, and escalates situations that need human attention.
Financial Services
An account review agent that pulls transaction history, flags unusual patterns, compiles a summary report, and routes it to the appropriate compliance officer for sign-off.
Professional Services
A new business intake agent that reads inquiry emails, extracts requirements, cross-references your existing client database, and populates your CRM with a pre-qualified summary.
Manufacturing
A supplier monitoring agent that tracks commodity pricing, lead time changes, and supplier communications — surfacing supply chain risks before they become production problems.
Non-Profits
A grant research agent that identifies funding opportunities matching your mission, summarizes eligibility criteria, and prepares a ranked list of prospects for your development team.
Have a task in mind that sounds like it could be automated but doesn't fit a simple rule?
The Process
How we go from idea to running system.
Whether we're building a workflow or an agent, the engagement follows the same disciplined path. We don't hand you a template — we design something that fits how your business actually works.
Understand the problem
We document every manual step, every handoff, every exception, and every system involved. We find where time is being wasted, where errors slip in, and whether the right solution is a workflow, an agent, or both.
Map integrations and boundaries
We identify every system that needs to be connected, what data moves between them, and — for agents — exactly what actions they're authorized to take and where they must stop and ask a human.
Build and test thoroughly
We build iteratively and test with real scenarios — including edge cases, exception paths, and for agents, adversarial inputs. The happy path is easy. We make sure the system handles everything else gracefully too.
Deploy with monitoring
We stand up logging, alerting, and approval gates appropriate for the task. You know what the system is doing, you can see its history, and when an upstream dependency changes, we catch it before it becomes a problem.
Ready to Start?
Tell us the task you most wish someone else was handling.
Bring us your most frustrating manual process — the one your team does five times a day, the one where errors keep slipping through, the one that's too unpredictable to script. We'll tell you exactly what it would take to automate it.