Task & goal planning
Agents that break a request into steps and decide which tool to use next.
Agents that plan, act and report back.
We design and ship AI agents that take a goal, break it into steps, call your systems and report back, with guardrails and a human in the loop where it matters.
Planning
Goal
Output
Working…
- Human approval for risky steps
- Every action logged
- Runs on your tools
How an agent works
You set the goal. The agent runs the loop.
- 01
Goal
You give it an outcome, not a script.
- 02
Plan
It breaks the goal into steps and picks the right tools.
- 03
Act
It calls your systems through secure, scoped connections.
- 04
Check
It reviews results, retries, or asks a person when unsure.
- 05
Report
It logs every action and hands back a summary.
What we build
Everything an agent needs to work safely
Tool & API use
Secure connections to your CRM, calendar, email, databases and internal APIs.
Memory & context
Short- and long-term memory so agents remember customers, preferences and past work.
Multi-agent systems
Specialist agents that hand work to each other: research, drafting and review.
Guardrails & approvals
Permission scopes, human approval steps and full audit logs.
Monitoring & evals
Dashboards and test suites that track accuracy, cost and latency.
Use cases
Where agents earn their keep
SalesLead qualification agent
Researches inbound leads, scores them and books meetings into your calendar.
CRM→Web→Calendar
SupportTier-1 support agent
Resolves common tickets end-to-end and escalates the rest with full context.
Helpdesk→Orders→Email
OperationsBack-office agent
Reconciles orders, updates records and chases missing information by email.
Database→ERP→EmailAgent vs. the alternatives
When you need an agent
| Capability | Chatbot | Rule-based automation | AI agent |
|---|---|---|---|
| Handles multi-step goals | No | Fixed steps only | Yes |
| Uses your tools and APIs | Rarely | Yes | Yes |
| Adapts when something changes | Limited | No | Yes |
| Remembers context over time | Session only | No | Yes |
| Asks a human before risky actions | No | No | Yes, configurable |
Agents we've shipped
Running in production today
Voice AI
AI Pre-screen Voice Agent
Runs candidate pre-screening calls for Zenterview and leaves a clean summary for the hiring team.
n8n workflowOrder & Results Automation
Reads client emails and PDFs, drafts results with an AI model and notifies clients by email and SMS.
Gen AI
Yashraa
A chatbot, voice agent and multi-model workspace in one AI suite.
Process
From first call to production
01
Scope
A short workshop to pick the use case, define what success looks like and check your data.
02
Prototype
A working demo on your real data within weeks, so you can see it before you commit.
03
Build & integrate
A production build connected to your tools, with guardrails, tests and monitoring.
04
Launch & improve
We go live, track quality and cost, and keep tuning as usage grows.
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Questions