For agency clients evaluating Jira

Why your agency is right to choose Kodokyo over Jira

Jira was built for software dev teams running sprints, and it bends painfully when agencies try to run client work through it — no portal, no proposals or invoices, too much admin overhead, and a learning curve clients should never have to climb. Kodokyo is shaped for agency delivery and still gives the dev team a native IDE workflow.

Credit where it's due

Jira is a serious piece of software. For a dedicated software dev team running real sprints, its depth is hard to beat — custom workflows, mature permission schemes, a huge Atlassian ecosystem, and integrations with basically every dev tool on earth. For what it was built for, it earns its place.

But here's the pivot: agencies aren't doing software dev sprints for the client — they're delivering a phased engagement with scope, approvals, billable hours, and a client who should never have to learn Jira. Running agency work through Jira means project admins spending hours on schemes and workflows, a client experience that's a JSM ticket portal (wrong shape), no proposals or invoices, and an AI layer (Atlassian Intelligence / Rovo) that's paid-tier and limited to summaries.

Kodokyo gives you the agency-shaped front door — portal, approvals, proposals, invoices, meeting intelligence — while your dev team gets something Jira never had: a native MCP server with 21 tools that works directly inside Claude Code, Cursor, VS Code, Windsurf, and Antigravity. Sequential task IDs (TASK-42) reference cleanly in commits. Devs never leave their editor.

AI-native, not AI-bolted-on

40 agentic AI tools execute work on your behalf — not just summarize it.

Most AI in project tools writes status updates. Kodokyo's AI takes actions. It creates tasks, sends email, books meetings, drafts invoices, moves files, links threads to projects, and records decisions — with guardrails and approvals where they matter.

Ask

“When is Kevin free Thursday?”

It checks the calendar and proposes slots.

Say

“Send Acme's invoice for this sprint.”

It drafts from billable hours and sends from your Gmail.

Type in chat

“We decided to use Postgres.”

A Decision Record is drafted and queryable forever.

8 autonomous systems running in the background

Chief of Staff

Background agent drafts daily updates, catches stalled tasks, suggests reassignments. Every action is a proposal your agency approves.

Ghost Tasks

Listens to chat for actionable intent and drafts tasks with assignee, priority, and reasoning. Approve or dismiss from the inbox on your dashboard.

Meeting Intelligence

A Recall.ai bot auto-joins your Meet, Zoom, and Teams calls, transcribes via Deepgram, and turns decisions and action items into tasks.

Predictive Bottleneck Engine

Continuously detects silent blockers (>3 days untouched), critical-path risk, overloaded assignees, and >30% velocity drops.

Starter Kits

When a task is done, AI packages the summary, files, and approach so the next person can pick it up without a handover meeting.

Decision Engine

Scans chat for decisions, drafts formal decision records, and makes them queryable forever.

Catch-up Digests

After a week off, one click produces a relevance-ranked recap of what happened on your project while you were away.

Personal Productivity OS

Learns peak focus windows from time-tracking patterns and can auto-decline meetings that break deep work.

A partial list of agentic tools: create_task, invite_member, send_email, create_calendar_event, find_meeting_slot, generate_invoice_draft, draft_sow, draft_proposal, search_drive_files, create_drive_folder, trash_drive_file, draft_email, link_email_thread_to_project, generate_catch_up_digest, propose_ghost_task, search_decisions, analyze_proposed_meeting, generate_client_briefing.

For the technical half of your agency

Your developers never leave their editor.

Kodokyo ships a Model Context Protocol (MCP) server. The agency's developers connect once, then work directly against your project from inside their IDE — pulling the task list, reading your bug reports with screenshots attached, creating tasks, and updating status without ever tab-switching into a PM tool. Task IDs like TASK-42 are sequential per organisation, so they reference cleanly in commits and pull requests.

Works natively with

Claude CodeCursorVS CodeWindsurfAntigravity

Any MCP-compatible editor works. API keys are SHA-256 hashed and tier-gated: read-only on Growth, full read + write on Business.

21 MCP tools available in-editor

list-clientslist-projectslist-memberssearchlist-tasksget-tasklist-feedbackget-feedbacksearch-drivelist-drive-folderdownload-drive-filecreate-taskupdate-taskupdate-task-statusdelete-taskadd-task-comment

The practical version of this

You submit a bug through the Kodokyo feedback widget on your staging site. The screenshot, the annotation you drew, the browser version, the console errors — all of it attaches to a task automatically. The developer's AI assistant pulls that task into the editor, fixes the code, updates the task status to “in review.” You see it move on your board. No tool hop, no copy-paste, no lost context.

Google Workspace, wired in at the OS level

The AI can actually use your Workspace — not just read it.

Most tools that “integrate with Google” mean a one-way sync of files or events. Kodokyo uses a two-tier model: an org-level Workspace account covers the whole team, with optional per-user personal accounts on top. On Business, a 15-minute admin setup enables Domain-Wide Delegation, so the AI can act across every user's Calendar and Drive without per-user OAuth prompts. Service account keys are encrypted at rest with AES-256-GCM.

Drive

Search and browse your org Drive, create Docs / Sheets / Slides, copy files, make folders, and move to trash (30-day recoverable — never permanently deletes).

Calendar

Find mutual meeting slots across multiple calendars, analyse a proposed meeting for conflicts, and create events with Meet links attached.

Gmail

Draft and send email from the org account, search personal Gmail with full operator support, and link email threads to the project they belong to.

Meeting bot

A Recall.ai bot runs every 2 minutes, scans the next 10 minutes of calendar, and auto-joins any Meet, Zoom, or Teams event — no one has to invite it.

Side by side, for your project

The comparison that matters isn't feature count — it's whether the tool is shaped like the work your agency is doing for you.

Concern
Jira
Kodokyo
Built specifically for agency-client work
Built for software dev teams running sprints
Primary use case
AI built in vs bolted on
Atlassian Intelligence, paid tier
Designed AI-native from day one
Number of agentic AI tools
Jira AI / Rovo: summarisation and writing, limited
40 tools that execute real work
Autonomous AI systems (Chief of Staff, etc.)
Not available
8 systems running continuously
Ghost Tasks from chat intent
No native chat; issues typed by hand
AI drafts, you approve
Decision Engine (formal decision records)
Confluence page conventions; no structured recall
Auto-detected, queryable forever
Native client portal
JSM portal is for ticketing, not agency delivery
Built-in, zero config, AI scoped to client
Agency's internal work stays internal
Project permissions are configurable but complex
Separated by design
MCP server + IDE integration
No native MCP; third-party bridges exist
21 tools in Claude Code, Cursor, VS Code, Windsurf, Antigravity
Save from anywhere on the web (browser extension)
Not available
Chrome extension: right-click any page to bookmark or create a task
Google Workspace Domain-Wide Delegation
Per-user OAuth only
15-min admin setup on Business plan
Cross-calendar free/busy search across a team
Not available without marketplace apps
Built in, AI-callable
Meeting bot that auto-joins Meet / Zoom / Teams
Use Fireflies / Otter separately
Recall.ai bot, every 2 min sweep
Ask-the-Meeting chat + transcript search
Not available
Per-meeting chat + cross-meeting search in Cmd+K
Real-time multi-cursor editing on docs
Confluence docs support it — separate product
Yjs CRDT, same tech as Notion / Linear
Visual bug reporting / feedback widget
Via Marker.io or BugHerd marketplace integrations
Built-in screenshot + annotate + AI triage
Proposals, SOWs, invoices in-product
Use Bonsai / HoneyBook
Native, AI-drafted from billable time
Native huddles (audio / video / screen share)
Use Zoom, Meet, or Teams separately
LiveKit, recorded and transcribed
Time tracking
Basic time logging; most teams add Tempo
AI-estimated time, auto-logged on completion, retainer tracking with live progress bars
Help docs the AI can cite without hallucinating
Confluence pages; AI retrieval limited
~60 articles, AI answers with citations
Setup time before first real use
Steep learning curve; schemes and workflows take days to weeks
Minutes; defaults are the point
Extra tools you still need alongside
Confluence, Slack, Tempo, Loom, Fireflies, Marker.io, Bonsai
None for core delivery
Resource planner (visual staffing)
Not available; buy Tempo Planner or Float separately
Built in — capacity bars, week nav, task drill-down
Pricing transparency
Tiered per-user + paid AI tier + Confluence + Tempo
One plan, AI included
Enterprise SSO (OIDC / SAML)
Atlassian Access (separate paid product)
Built in on Business plan, OIDC + SAML
AI daily audio briefing
Not available
2-min spoken summary via OpenAI TTS, playable on dashboard
Voice input (speak instead of type)
Not available
Hold-to-speak mic in AI chat and messaging, Web Speech API
Live web scraping for client research
Not available
AI scrapes client websites for grounded briefing documents

Where Jira supports something via marketplace apps, Confluence, or Jira Service Management, we've said so rather than marked it off.

What your agency gets to deliver

Choosing the tool shapes the experience you have working together.

A clean client view

You see deliverables, decisions, timelines, and feedback — nothing else. The native client portal uses token-based access so you don't need another login, and the AI scoped to your portal never reveals internal discussions or agrees to scope and timeline changes. Separation is the default, not something the project manager has to remember to configure.

Ghost Tasks and auto-recaps

The AI writes status updates, drafts Ghost Tasks from chat (the agency approves each one), sends auto-emailed meeting recaps to whomever opts in, and generates a 2-minute spoken audio briefing of your day you can listen to on the commute. The blank page is gone — that's hours every week back on your actual work.

Client infrastructure and retainer tracking

Hosting, DNS, domain registrar — linked to admin panels for 30+ providers. Per-client billing items with retainer hour tracking: the AI estimates time on every task, auto-logs it on completion, and the retainer progress bar updates in real time — green under 80%, amber approaching the cap, red when you're over. No spreadsheets, no forgotten timers.

Living documents and decisions

The scope doc is a Living Document with real-time multi-cursor editing. The Decision Engine catches “we decided to…” in chat and drafts a formal record, queryable forever. Nobody digs through email threads to remember what was agreed in week three.

Ask-the-Meeting, and never re-watch a call

Every meeting has its own chat — ask “what did we decide about the homepage hero?” and the AI answers from the transcript, with a shareable soundbite link to the exact moment. Cross-meeting search lives in Cmd+K. Speaker analytics flag monologues over 120 seconds.

The math

A typical agency uses six to nine different tools to deliver your project. Each one has its own bill, its own login, its own silo of your data. Kodokyo replaces all of them — which for you means one bill (theirs), one source of truth, and no “which tool was that in?”

Team chat (Slack)
Project management (Asana, Jira, Trello, Linear)
Docs and wiki (Notion, Confluence)
Meeting notes (Fireflies, Otter, Fathom)
Visual feedback (Marker.io, BugHerd)
Time tracking with AI estimation (Harvest, Toggl)
Proposals and invoices (Bonsai, HoneyBook)
Client portal (SuperOkay, Clinked)
Web clipping (Evernote Clipper, Notion Clipper)
Loom-style video (Loom)
Resource planning (Float.com, Runn, Teamwork)
Browser extension (Evernote Clipper, Notion Clipper)

Fair questions

We're already in Jira — how hard is migration?
A few hours of work the agency owns, not you. Issues, epics, sprints, comments, attachments, and statuses export cleanly via CSV or the Jira REST API. Statuses map to Kodokyo's task states. Confluence docs import into our Yjs editor.
Our dev team lives in Jira. Will they miss it?
No — they gain something Jira never had. Kodokyo's MCP server means they work directly against your project from inside Claude Code, Cursor, VS Code, Windsurf, or Antigravity. Task IDs like TASK-42 reference cleanly in commits. Bug reports arrive with screenshots and console errors attached. Most dev teams say the IDE integration is a step up from Jira's browser workflow.
Will I have to learn yet another tool?
No. You only see the client portal, which is intentionally simple: deliverables, a timeline, a feedback view, and a place to approve things. That's the whole interface for you. Your agency lives in the richer side.
What about agile ceremonies — sprints, standups, retros?
Kodokyo supports sprint-style iterations when the work calls for it. But most agency engagements aren't software sprints — they're phased deliverables with approvals. You pick the shape; Kodokyo doesn't force ceremonies the project doesn't need.
Is our data secure?
Yes. Data is encrypted at rest and in transit, hosted on Vercel and Google Cloud, and owned by your agency's workspace. Google service account keys are AES-256-GCM encrypted. SOC 2 Type II is on the roadmap. Full audit logs.
What if we want to leave?
Full export is available at any time — tasks, docs, messages, files, time entries. No lock-in, no data hostage. You can walk with everything.

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The best tool for the project is the one built for the kind of work you're actually doing together.