01 / 03
One job, done properly
Every agent is scoped to a workflow you already have, with explicit boundaries on what it can touch and what it cannot.
AI Agent Development Company AI Agents That Do the Work Not Just Describe It
We build agents that handle real operations, support, internal workflows, content, not chatbots that generate a polite answer and leave the actual task to a person. Built on the same engineering process as our AI software development.
Sash AgentOnline
Live demo
Ask the agent anything…
AI agentTickets triaged
HumanEdge cases escalated
0+
AI powered projects delivered
60/40
Marketing to development, one roadmap
Built In House
Every AI tool, not resold
How We Work
One agent, one job, supervised until it earns autonomy.
What is an AI agent?
An agent is software that takes an action on its own, updates a record, drafts a report, routes a ticket, instead of producing a response for someone to act on manually. We scope every agent to one workflow at a time and wire it directly into the tools that workflow already runs on.
A chatbot
Answers questions.
- Replies to FAQs
- Sounds helpful
- Waits for a human
- Changes nothing
A Sash agent
Gets it done.
- Reads your tickets
- Updates the record
- Sends the email
- Flags what it is unsure of
One talks about the work. The other actually does it. See how we build agents.
Why Sash
Why teams
choose us.
02 / 03
Wired into what you already use
Your CRM, your inbox, Slack, your internal database. We integrate with your existing stack instead of asking you to migrate.
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Watched, not trusted blind
Every agent starts under human review, and autonomy gets earned over time, not granted on day one.
AI Agent Development services
What We Build For You.
Customer Support Agents
Handling tickets, qualifying leads, and escalating the ones that genuinely need a person.
Internal Operations Agents
Reporting, data entry, the repetitive workflow your team has been doing by hand for two years.
Content and SEO Agents
Drafting, auditing, and publishing against a content plan your team still controls.
Custom Agent Integration
Connecting an agent into your specific stack, scoped during discovery so it fits how your team actually operates.
- 01
We find the workflow actually worth automating.
We usually find the real time sink by watching how your team spends an ordinary week.
- 02
We map exactly what it needs to touch.
Your CRM, your inbox, your internal APIs, whatever the task actually runs through.
- 03
We build it narrow, on purpose.
One agent, one job, clear limits on what it can and cannot do.
- 04
We run it supervised first.
A person reviews its output until it has earned trust.
- 05
We hand over autonomy gradually.
Scope expands once the agent has a track record.
Most teams do not need another hire. They need the repetitive forty percent of a role automated.
Scope Your AgentFAQ
Frequently Asked Questions.
A chatbot answers a question and stops there. An agent updates the record, sends the email, or flags the order on its own.
No. It removes the repetitive slice of a role so the person can spend time on the part that actually needed a human.
Every agent starts under supervision, with a person reviewing its output before anything goes live unattended.
Most CRMs, help desks, Slack, email, anything with an API.
A single workflow agent usually takes a few weeks from scope to a supervised launch.
Usually better as separate agents, each scoped to its own department's workflow.
The same way we would scope access for a new hire: specific systems, defined permissions, nothing broader than required.