An AI agent for software agencies
that qualifies leads and triages tickets, not your backlog
A software agency's inbound channel fills with requests that range from a two-day fix to a six-month build, and a founder or a senior engineer spends real hours sorting which is which before any actual work starts. We build an agent that asks the qualifying questions first and routes tickets by severity, so a senior engineer's time goes to scoping real work, not reading every message.
Why IT companies and software agencies lose money today
A software agency’s intake channel mixes everything together: a one-line “can you fix a bug” message sits next to a serious six-figure build inquiry, and until someone reads both, they look the same. Senior engineers end up doing the first pass of sorting, which is the most expensive way to find out that a lead has no real budget or that a support ticket is a duplicate of one filed yesterday.
The second cost is response time. A prospect comparing three agencies for a build usually goes with whoever answers first with a credible, specific question, not a generic “tell us more about your project.” A generic auto-reply reads as exactly what it is, and a founder manually answering every inbound message cannot do that at the speed three competing agencies collectively can.
The third is support ticket chaos on active client accounts. A production outage, a minor UI bug and a “can we add this feature” request often land in the same inbox or Slack channel, and without a severity signal attached at intake, the outage can sit behind five lower-priority messages simply because of arrival order, not actual urgency.
A fourth, specific to agencies running several client accounts at once, is context switching. An engineer answering a support message has to first figure out which client, which project and which prior conversation it belongs to before even reading the actual issue, and that lookup time compounds across every ticket in a busy week.
What we build
An agent that qualifies inbound leads with the questions a senior engineer would ask first: rough budget range, timeline, whether the project is greenfield or an existing codebase, and which platforms are involved. A lead that clearly has no realistic budget for the scope gets a polite, honest answer instead of a discovery call slot; a lead that fits gets routed to the right person with the qualifying answers already attached.
On the support side, the agent reads an incoming ticket, applies severity rules you define, routed to the engineer or team who owns that client or that part of the system. A production outage from a paying client does not wait behind a cosmetic bug report just because it arrived second. Ambiguous cases are flagged for a human rather than auto-classified with false confidence.
The agent also answers FAQ on your process, stack and pricing model from your own written playbook, so a prospect gets a consistent, accurate answer about how you work whether they ask at 2pm or 2am. Anything touching an actual scope change, contract term or refund is a hard escalation, written into the playbook as a rule the agent does not cross.
Typical integrations: Jira, Linear or GitHub Issues for ticket routing, a Telegram or Slack queue for smaller teams, your CRM or a Google Sheets pipeline for lead records, and your site chat or WhatsApp for the first point of contact.
What stays with humans
Actual project scoping, quoting and contract terms stay with your team, always. The agent sorts and qualifies; it does not price a build or commit your agency to a deadline. Technical debugging and any client conversation about budget, scope change or dissatisfaction routes to a human immediately, with context attached so nothing gets re-explained.
Price and timeline
| Package | Price | Timeline |
|---|---|---|
| Agency runs it | from $2,000 | 3 to 4 weeks |
| Full control, handover-ready | from $3,400 | 4 to 6 weeks |
Running cost is separate, usually $20 to $150 a month in model usage depending on volume, with a hard budget cap set before launch.
Related
Pair this agent with CRM and pipeline analytics for software agencies so qualified leads land in a pipeline you can actually report on, or a lighter Telegram bot for software agencies if ticket triage alone fits better right now. See the full package breakdown on the AI agents service page, the IT helpdesk agent for a narrower internal-support build, or the AI brain product case study for how we build agent routing for ourselves. Get a written plan with a fixed price for your team.
FAQ
How much does an AI agent for a software agency cost?
Our Sales agent package starts at $2,000: lead qualification, ticket triage, pricing and process FAQ, escalation rules, live in 3 to 4 weeks. A lighter single-channel version handling only ticket triage starts at $1,500.
Can it actually scope a project, not just collect contact details?
It asks the questions that separate a quick fix from a real build: rough budget, timeline, existing codebase or greenfield, and the platforms involved. That gets a lead to a senior engineer pre-sorted by size, not fully scoped, since a real quote still needs a human reading the actual requirements.
How does ticket triage decide severity without guessing wrong?
From rules you define: a production outage, a client-facing bug and a feature request are treated differently from the first message, using keywords and context you specify, not a generic model guess. Anything ambiguous gets flagged for a human to confirm rather than auto-routed.
Does it integrate with our existing ticketing system?
We connect to Jira, Linear, GitHub Issues or a Telegram queue for smaller teams, writing structured tickets with the severity and context the agent collected, instead of a one-line message that someone has to re-ask about.
What happens with a question about contract terms or a scope change?
That is a hard escalation rule in the playbook: the agent does not negotiate scope, pricing changes or contract terms, it hands off immediately to whoever owns the account, with the conversation attached so nothing needs repeating.