AI agents that do the work, not just the talking
We build agents that log into your systems, take the next action, and close the loop, with approval gates and an audit trail on every step they take.
How it works
A chatbot answers a question and leaves the work sitting there. An agent picks up the ticket, pulls the account from your CRM, checks the contract terms, issues the credit, writes the note, and escalates the one case out of ten that needs a person. The gap between those two things is integration, guardrails, and testing, which is exactly what we build. Every agent we ship runs against your real systems with defined permissions, a confidence threshold, and a log of every action it took and why.
Agents that take actions, not just answers
Each agent gets a scoped set of tools it can actually call in your systems, with permissions you define per action.
- Read and write across CRM, ERP, ticketing, and billing
- Multi-step plans with retries and graceful failure
- Confidence thresholds that trigger human handoff
- Scheduled, event-driven, or conversation-triggered runs
Wired into the systems you already run
No parallel workspace to maintain. Agents operate inside Salesforce, HubSpot, Zendesk, NetSuite, Slack, and your internal APIs.
- Prebuilt connectors plus custom API work included
- Drops into the Leadify platform for sales and service workflows
- Respects existing roles, field permissions, and record ownership
- Runs in your cloud tenancy when compliance requires it
Guardrails, approvals, and a full audit trail
Every decision is logged with its inputs and reasoning, so ops leads can review, correct, and tighten the agent over time.
- Human-in-the-loop approval on any action you flag
- Hard limits on spend, discounting, and record deletion
- Regression tests run before each agent update ships
- SOC 2 aligned logging and 99.9% uptime commitment
Where teams use it
Built for real revenue work.
Inbound lead qualification and booking
The agent responds to a new inquiry in under a minute, asks the qualifying questions your reps would ask, enriches the record, and books the meeting on the right rep's calendar. Unqualified leads get routed to nurture instead of wasting a call slot.
Accounts payable exception handling
Invoices that fail three-way match get picked up by an agent that reads the PO, the receipt, and the vendor contract, then either resolves the variance within policy or assembles the exception packet for a controller to approve.
Tier-1 support resolution
Password resets, order status, refund eligibility, and shipping changes get resolved in the ticket, in the customer's language, with the account actually updated. Anything ambiguous escalates with a written summary so the human starts at step three.
“We piloted two no-code agent tools first and both fell apart the moment a request needed data from more than one system. The agent APPIT built handles our whole returns flow, and we can see every action it took on every order.”
FAQ
Questions, answered.
What can an AI agent do for my business?
The best fit is any high-volume workflow with clear rules and a lot of copying between systems: qualifying inbound leads, resolving tier-1 tickets, chasing overdue invoices, reconciling exceptions, onboarding new accounts. A well-scoped agent typically handles 60 to 75 percent of that volume end to end and escalates the rest with context attached. The work that stays human is the judgment calls, which is usually the part your team wanted to spend time on anyway.
How much does an AI agent cost?
A production agent covering one workflow typically runs $25,000 to $75,000 as a fixed build, delivered in about six weeks, plus inference costs that usually land between $200 and $2,000 a month depending on volume. Multi-agent systems that span departments run higher. Because you own the code, there is no per-seat or per-resolution pricing that scales against you as usage grows.
How is this different from Lindy, Make.com, or an off-the-shelf agent builder?
Those platforms are excellent for simple, low-stakes chains and we'll tell you when one is the right answer. They struggle when an agent needs deep access to a legacy system, custom business logic, real evaluation coverage, or data that can't leave your tenancy. They also rent you the automation: the logic lives in their platform at their pricing. What we build runs in your infrastructure and belongs to you.
What happens when the agent gets something wrong?
Every agent ships with a confidence threshold, a hard list of actions it can never take unattended, and a rollback path. Below threshold it stops and hands off to a person with its reasoning attached. We also run regression tests against real historical cases before any update goes live, and the first weeks of production run in shadow or approval mode so your team calibrates the thresholds against actual results.
Keep exploring
More from the Leadify platform.
Custom AI Software
The full build practice behind our agents: custom AI systems you own outright.
AI Automation
When a workflow needs deterministic straight-through processing more than an autonomous agent.
AI Sales Agent
Leadify's ready-to-run agent for inbound response, qualification, and meeting booking.
Put your first agent in production in six weeks
Bring us your highest-volume queue and we'll scope an agent for it, with a fixed price and a live date.