Software Founders & Builders
Replace manual multi-step work with AI agents that take action
We build AI agents that do real work: CRM updates, emails, documents, approvals. Guardrails, audit logs, and human checkpoints included.
The problem
Sound familiar?
Your team repeats the same multi-step process by hand
A lead comes in. Someone researches it, writes an email, updates the CRM, books a follow-up. Five manual steps per lead. It does not scale.
Zapier works until it does not
Your Zapier flow runs fine for six months. Then an API changes, a step fails quietly, and data stops flowing. Nobody notices for three weeks. No audit trail.
Your AI features need to act, not just write text
You want AI that books meetings, creates documents, updates records. A chat call only returns text. You need a system that does work.
Adding AI actions could break your current architecture
Your backend was not built for AI side effects. Letting an agent write to your database needs changes your team has no time for.
The solution
What we actually do
We build the agent around your exact workflow, with the tools it needs, guardrails to keep it safe, and an audit log. Real tasks done, not demos.
What you get
What's included
Workflow map of every step, decision, and tool call
Single-agent or multi-agent design to match complexity
Tool integrations: CRM, email, calendar, database, documents, APIs
Guardrails that hand off to a human when unsure
Human approval steps where the workflow needs them
Audit log of every action, timestamped and attributed
Dashboard for completion, failure, and handoff rates
The process
How it works
Map
We document every step, decision, and tool the agent needs.
Design
We design the agent, tool interfaces, and guardrails before coding.
Build
We build the agent, wire the tools, and test on real cases.
Monitor
We launch with audit logging on and tune from real failure data.
Proof it works
The offer
Priced by workflow complexity, from one automation to multi-agent systems.
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Common questions
Frequently asked
01What makes this different from Zapier or Make?
Zapier connects APIs with fixed rules. An agent reasons about the task, handles exceptions, and makes judgment calls. It is more than trigger and action.
02Which LLM do you use for the agent?
GPT-4o or Claude 3.5 Sonnet, depending on the tool-use and reasoning needs. We recommend based on your workflow.
03How do you prevent the agent from doing something wrong?
Every agent has guardrails: confidence thresholds, action limits, and human approval for risky steps. No agent takes an irreversible action without a checkpoint.
04Can the agent access our database?
Yes. We build typed tool functions that expose only what the agent needs. No raw SQL. Every database call goes through a controlled function.
05What happens when the agent fails?
Failures are caught, logged, and trigger an alert. Temporary errors retry. Anything needing judgment goes to a human.
06Is TechEmulsion based offshore?
No. We operate through our US entity in Wyoming. Our team works in your timezone.