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. 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. A senior engineer's time goes to scoping real work, not reading every message.
Where sorting eats a senior engineer’s day
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. That is the most expensive way to find out a lead has no real budget, or that a support ticket duplicates one filed yesterday.
Response time is the second cost. A prospect comparing three agencies for a build usually goes with whoever answers first with a credible, specific question. A generic “tell us more about your project” auto-reply reads as exactly what it is. A founder manually answering every inbound message cannot match the speed of three competing agencies combined.
Support ticket chaos on active client accounts is the third. A production outage, a minor UI bug and a “can we add this feature” request often land in the same inbox or Slack channel. 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 first has to figure out which client, which project and which prior conversation it belongs to. Only then can they read the actual issue. That lookup time compounds across every ticket in a busy week.
What the agent sorts before anyone else sees it
The agent qualifies inbound leads with the questions a senior engineer would ask first: rough budget range, timeline, greenfield or existing codebase, and which platforms are involved. A lead with 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 and applies the severity rules you define. It routes each one 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 get 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. 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. That rule is written into the playbook, and the agent never crosses it.
It typically connects to Jira, Linear or GitHub Issues for ticket routing, or a Telegram or Slack queue for smaller teams. Your CRM or a Google Sheets pipeline holds lead records. Your site chat or WhatsApp handles the first point of contact.
What stays with your team
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 $3,000 | 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.
More for your agency
Pair this agent with CRM and pipeline analytics for software agencies, so qualified leads land in a pipeline you can actually report on. Or see 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 covers a narrower internal-support build. The AI brain product case study shows 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. It covers lead qualification, ticket triage, pricing and process FAQ, and 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 get treated differently from the first message. That uses 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. Tickets come in structured, with the severity and context the agent already 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 never negotiates scope, pricing changes or contract terms. It hands off immediately to whoever owns the account, with the conversation attached, so nothing needs repeating.