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Engineering Solutions

Build an AI Engineering Team — Production-Grade Automations, Faster Than You Ship Code

DeskFerry helps you and your team build AI agents across engineering — from bug triage, release notes, docs upkeep, on-call context, and more.

40% less time on glue workHours→min faster incident context24/7 backlog & docs hygiene100% auditable actions

New bug report

moving through your team

step 1/4
Issue Triage
Repro & Diagnose
Fix Drafter
Release Agent

Issue Triage · Labels, prioritizes, and routes every new bug or request.

Works with your stack

Gmail
Slack
Notion
HubSpot
Salesforce
Google Sheets
+1,500 more
Use cases

What you can build

jira
slack
DeskFerry
google-sheets
gmail

Connects to 1,500+ apps

Bug triage

4 tools

Triage incoming issues automatically.

jiraslackgoogle-sheets
  • Reproduce from the report
  • Label severity and assign
  • Attach logs and likely cause
  • Post a summary to the team
Use Cases

Automate the work between the work

Bug Triage & Routing

Agents read new issues, reproduce where they can, label severity, and route to the right owner with logs and a suspected root cause attached.

Release & Deploy Automation

Cut release notes from merged PRs, run the checklist, and post status to Slack — agents handle the choreography around every deploy.

Docs That Stay Current

When code or APIs change, agents update the docs, examples, and changelog so your references never drift from reality.

On-Call Copilot

When an alert fires, agents gather logs, dashboards, and recent changes, then draft an incident summary for the on-call engineer.

Code Review Assist

Agents do the first pass — style, obvious bugs, missing tests — so human reviewers focus on architecture and intent.

Backlog & Sprint Hygiene

Keep Jira and Linear tidy: agents dedupe issues, chase stale tickets, and draft sprint summaries from activity.

How it works

Connect your tools

Plug in the apps your team already uses — 1,500+ integrations, no code and no migration.

jira
slack
google-sheets
notion
gmail
google-drive
openai
hubspot

Describe what you need

Tell DeskFerry the outcome in plain English. Agents plan the steps and do the work across your tools.

Reproduce from the report
Label severity and assign
Attach logs and likely cause
Post a summary to the team

Get results where you work

Results land in Slack, your inbox, or your dashboard — on a schedule or the moment something happens.

Slack

Slack

Posted to your channel

Email

Sent to your inbox

Dashboard

Updated live

Smart Features

What makes these agents smart

Works with your dev stack

GitHub, GitLab, Jira, Linear, Slack, PagerDuty, Sentry, and your CI/CD — no rip-and-replace.

Code and no-code

Builders configure agents visually; engineers drop into code when a step needs custom logic.

Human-in-the-loop by default

Gate deploys, merges, and other risky actions behind an approval step.

Reasoning you can inspect

See each agent's steps and decisions, not just the final output.

Your code stays private

Used only to run your workflows — never to train public models.

Full audit trail

Every action logged with its inputs and outputs for review.

Workflows

End-to-end workflows your agents can run

New bug report → triaged and assigned

Trigger

A customer files a bug in your issue tracker.

1
Agent runs

Agent reads the report and tries to reproduce it from the steps given.

2

Pulls related logs and recent changes that could be the cause.

3

Labels severity and assigns the likely owner with a suspected root cause.

4

Posts a summary to the team channel and links the evidence.

Outcome

Engineers open a ticket that's already triaged, reproduced, and pointed at a probable cause.

PR merged → release notes and docs updated

Trigger

A pull request merges to main.

1
Agent runs

Agent summarizes the change into human-readable release notes.

2

Updates affected docs, examples, and the changelog.

3

Posts the notes to Slack and drafts the customer-facing update.

4

Flags anything that needs a human's eyes before publish.

Outcome

Release notes and docs ship with the code instead of days later.

Multi-agent orchestration

An engineering team of agents handling the glue work

Triage, diagnose, draft, and release — a relay that runs the work between the work.

Agent 1

Issue Triage

Labels, prioritizes, and routes every new bug or request.

Agent 2

Repro & Diagnose

Reproduces the issue and points to a likely root cause with logs.

Agent 3

Fix Drafter

Drafts the change or a first-pass PR for an engineer to review.

Agent 4

Release Agent

Cuts release notes, updates docs, and posts status on merge.

Works where you work

Talk to your agents from the tools you already use

Slack

Mention @deskferry in any channel to kick off work or get answers.

Microsoft Teams

Chat with your agents right inside Teams.

Email

Forward an email and let an agent take it from there.

WhatsApp

Message your agents on the go and get updates back.

#team-deskferry
You

@deskferry triage new bugs and draft release notes for today's merges

DeskFerryAgent

On it — pulling new leads, enriching them, and drafting follow-ups now. I'll post the drafts here for your review. ✅

Runs on its own

Your AI team never sleeps

Agents run on a schedule or fire on triggers — no one has to kick them off.

Every morning

Kick off daily briefings, reports, and triage before you log on.

Hourly

Watch for new leads, tickets, or events and act the moment they land.

Weekly

Run recurring reports, reviews, and clean-up on a set cadence.

On triggers

Fire instantly when a record changes, a form is filled, or a message arrives.

Built for teams

Share agents with your team — with the right permissions

Build an agent once, then let the whole team run it. You decide who can change what.

Admin

Create agents, manage connections and billing, and set permissions for everyone.

Editor

Build and edit shared agents and workflows for the whole team.

Viewer

Run approved agents and see results — without changing how they work.

Enterprise-grade security

Built to handle your business data responsibly

Encrypted by default

Data and credentials are encrypted in transit and at rest.

Role-based access

Decide who can build, run, and view each agent.

Your data stays yours

Used only to run your workflows — yours to export or delete anytime.

Scoped connections

Connect apps with least-privilege access and revoke them anytime.

Activity history

See a clear record of what each agent did, and when.

Guardrails & approvals

Add human approvals and limits on sensitive actions.

Built for lean teams

Teams ship faster with DeskFerry.

3x

More leads qualified per week

We replaced 4 hours of daily manual lead sorting with an DeskFerry agent. It qualifies leads, updates our CRM, and routes hot prospects to sales — all on autopilot.

Chris Bray

Founder, BigMediaAI

60%

Reduction in response time

Our support team was drowning in tickets. Now our AI agent handles tier-1 queries instantly and escalates the rest. Customers get answers in seconds, not hours.

Ranjeet Singh

Customer Success Lead, Bidanno

12hrs

Saved per week on operations

I'm a one-person ops team. DeskFerry handles invoice follow-ups, data entry, and weekly reports for me. It's like having an assistant that never sleeps.

Sara K.

Operations Manager, Agency

Frequently Asked Questions

Answers to common questions about automating with DeskFerry. If you have any other questions, please don't hesitate to contact us.

Is DeskFerry only for non-technical users?

No. DeskFerry is no-code by default so anyone can build agents, but engineers can drop into code whenever a step needs custom logic. You get the speed of no-code with an escape hatch when you need it.

Which engineering tools does DeskFerry integrate with?

GitHub, GitLab, Jira, Linear, Slack, PagerDuty, Sentry, and your CI/CD, plus 1,500+ other apps. If your internal tool has an API, agents can use it too.

How do you keep risky actions safe?

Add human-in-the-loop approvals for deploys, merges, and anything sensitive. Agents pause for sign-off and only act within the permissions you grant, and every action is logged.

Will agents see our source code?

Only what you connect them to, with least-privilege access you can revoke anytime. Your code is used solely to run your workflows and is never used to train public models.

How fast can we get value?

Most engineering teams have their first agent — usually bug triage or release notes — running the same day, then expand from there.

Give your engineers their focus time back

Let an AI team handle triage, releases, and docs while your engineers build.