AI-Powered Development OS

Your engineers
aren't slow.
The information is.

KoFlow deploys a team of AI agents across your product pipeline. From the strategy call to the merged PR — context intact, decisions documented, nothing lost.

30-day pilot · No credit card · First insight in under 10 minutes

30–50%
of dev costs go to rework from misaligned requirements
44%
of eng orgs can't answer "what's actually at risk right now"
45%
of features shipped are never used by the people they were built for
Deploys into the tools your team already uses
JiraProject Management
LinearIssue Tracking
GitHubVersion Control
GitLabDevOps
NotionDocumentation
ConfluenceKnowledge Base
SlackCommunication
FigmaDesign
ZoomMeetings
TeamsMeetings
JiraProject Management
LinearIssue Tracking
GitHubVersion Control
GitLabDevOps
NotionDocumentation
ConfluenceKnowledge Base
SlackCommunication
FigmaDesign
ZoomMeetings
TeamsMeetings
The Solution

One pipeline.
Idea to shipped product.

KoFlow connects every stage with a continuous intelligence layer. Agents work within the tools your team already uses — nothing to install, no new process, no migration.

Spec Consistency Layer — running across every stage
01
Ideation
Chief of Staff Agent
Joins meetings, synthesizes decisions, produces structured assessments in minutes. Leadership responds to opportunities in hours, not weeks.
02
Requirements
Product Agent
Converts decisions into PRDs, user stories, and acceptance criteria. Pushes directly to Notion, Confluence, or KoFlow's native docs.
03
Planning
Eng. Manager Agent
Breaks requirements into sprint tasks, assigns based on real velocity data, runs async standups. Blockers surface in hours.
04
Development
Developer Agent
Maintains the thread from PRD to PR. Flags divergence before merge. Handles boilerplate so engineers stay in flow.
05
QA Agent
Quality Assurance
Tests against acceptance criteria automatically. Generates test cases, executes against each build, and gates deployments.
06
Security Agent
Security Review
Reviews PRs and architecture for security implications in real time. Maintains a living security posture that updates as the codebase evolves.
07
Deployment
CI/CD Agent
Gates deployments on QA and security sign-off. Manages rollouts and feature flags. Monitors production health and executes rollbacks automatically.
08
Go-to-Market
GTM Agent
Prepares positioning, enablement materials, and launch coordination — starting when the feature enters the pipeline, not the week before it ships.
Agents in Action

Watch them
work together.

A live simulation of agents collaborating across a real feature request. No human coordination required at any step.

Chief of Staff
Product Agent
Eng. Manager
Developer Agent
Security Agent
QA Agent
Agents standing by — watching your pipeline
Press play to start
The Full Roster

Twelve specialists.
One coordinated team.

Not every agent is active on every project. The roster scales to match the complexity of your work. MVP includes the first four. Full roster unlocks on the Scale plan.

MVP Included from day one    SCALE Available on Growth & Scale plans    ADD-ON Specialist add-on
MVP 01
Chief of Staff Agent
Orchestrator & Intelligence Layer
The brain of KoFlow. Joins meetings, synthesizes decisions, coordinates all agents, delivers the weekly brief, and surfaces risks before they become crises. Three-tier approval model for every consequential action.
Zoom · Slack · All connected tools
MVP 02
Product Agent
Requirements & Spec Consistency
Transforms assessments into full PRDs, user stories, and acceptance criteria. Monitors every ticket and PR for drift. Flags the moment implementation diverges from what was agreed — before it ships wrong.
Notion · Confluence · Jira · Linear
MVP 03
Engineering Manager Agent
Sprint Planning & Team Visibility
Plans sprints against real velocity data. Runs async standups in Slack. Synthesizes blockers into escalation reports at the right level of detail for each stakeholder. Engineering managers focus on people and architecture.
Jira · Linear · Slack · GitHub
MVP 04
Developer Agent
Code Integrity & Acceleration
Works inside each developer's GitHub workflow. Maintains the thread from original PRD to every pull request. Handles boilerplate, test scaffolding, and documentation so developers stay in flow and never lose context.
GitHub · GitLab · VSCode · Linear
SCALE 05
QA Agent
Quality Assurance & Testing
Manages the full QA lifecycle from test planning to sign-off. Generates test cases from acceptance criteria, executes against each build, and produces a quality assessment that gates deployments. QA is never a bottleneck.
Jest · Cypress · Linear · GitHub
SCALE 06
Security Architect Agent
Security Review & Compliance
Embeds security review into development instead of bolting it on at the end. Reviews pull requests and architectural decisions in real time. Maintains a living security posture that updates as the codebase evolves. Escalates critical vulnerabilities with full context and recommended remediation.
GitHub · GitLab · Security registers
SCALE 07
CI/CD Agent
Deployment & Release Management
Gates deployments on QA sign-off and security clearance. Manages staged rollouts and feature flags. Monitors production health post-deployment and executes rollbacks automatically when anomalies are detected.
GitHub Actions · Jenkins · Vercel
SCALE 08
GTM Agent
Go-to-Market Coordination
Ensures every feature has a coordinated launch motion. Works with marketing, sales, and customer success — starting when a feature enters the pipeline, not the week before it ships. GTM teams are never caught off guard.
Notion · Slack · HubSpot · Linear
SCALE 09
Design Agent
Design, UX & Visual Specifications
Bridges the gap between product requirements and engineering by ensuring designs are validated before development begins. Monitors alignment between design specs and engineering tickets. Prevents rework from misunderstood designs.
Figma · Notion · GitHub · Linear
SCALE 10
Customer Insights Agent
Feedback Loop & User Intelligence
Closes the loop between what ships and what customers experience. Monitors support channels, app reviews, NPS responses, and usage analytics — surfacing patterns as continuous input for the next planning cycle.
Intercom · Zendesk · Amplitude · Slack
SCALE 11
Data Agent
Analytics & Instrumentation
Ensures every feature ships with proper instrumentation. Maintains a data model and event taxonomy that updates as features are built. Features ship with measurement built in — never retrofitted after launch.
Segment · Amplitude · Mixpanel · dbt
ADD-ON 12
Compliance Agent
Regulatory & Legal Review
For fintech, healthtech, edtech, and enterprise SaaS. Embeds regulatory and legal review into development — flagging compliance requirements as features are designed, not after they are built. Audit documentation always current.
SOC 2 · HIPAA · GDPR · ISO 27001
Open Agent Ecosystem
KoFlow can orchestrate third-party AI agents alongside native ones — integrating external agentic platforms into the same coordinated pipeline. Your existing AI investments connect directly into KoFlow's intelligence layer.
The Dashboard

Everything in one place.
Nothing to assemble.

A unified command center for every stakeholder. Click each view to see what different roles see — automatically, without any configuration.

Pipeline
Alerts 3
Tickets
Documents
Reports
Settings
Agents Online
Chief of Staff
Product Agent
Eng. Manager
Developer Agent
Weekly Brief Monday · Auto-generated · CEO view
Today, 7:00 AM
Northstar integration on track. Sprint 7 completed at 94% velocity. Security review passed all gates. GTM assets complete for Q1 launch window.
Sprint 8 kicks off Monday. Pharmacy compliance checkpoint Day 3. API documentation due Thursday for Northstar onboarding team.
API rate limit dependency — 68% probability of delay if unresolved by Wednesday. Security Agent has flagged. Recommendation attached.
Push analytics dashboard to v1.1 or include in Q1 scope? Engineering Manager recommends deferral. Timeline impact: none either way. Your call.
Pipeline Overview Full view · Chief of Staff
Live
Ideation
✓ Complete
Northstar scope approved
Requirements
✓ Complete
PRD v2.1 published
Development
● Active
Sprint 8 · Day 4 of 10
QA & Security
○ Queued
Starts Friday
Deployment
○ Queued
Jan 14 target
3 pending decisions · 2 awaiting your approval View all →
API rate limit risk · 68% probability · unresolved Review →
Spec drift alert resolved 4 hours ago · PR #47 updated See log →
Sprint 8 velocity tracking at 96% of target · no scope risk Sprint view →
⚠ Spec Drift Alert Today 2:14 PM · Developer Agent
Action required
What was detected
PR #47 introduces a client-side data caching layer not specified in PRD v2.1. The implementation creates a local persistence store for pharmacy lookup results.
Conflicts with original requirement
PRD v2.1 · Section 4.2 · Data Handling: "No client-side data persistence. All pharmacy data must be fetched server-side on each request."
HIPAA implication: local persistence of pharmacy data may require additional compliance documentation.
Recommended resolution
Remove the local cache layer from PR #47 and implement server-side session caching instead — resolves in approximately 45 minutes. Alternatively, escalate to product team to update PRD v2.1 if caching is intentional.
Context Intelligence Based on 87 days of organizational data
✦ Live
Sprint Prediction
QA time is compressed
Your team averages 5.1 days on compliance feature QA. Sprint 8 has QA scoped at 3 days. Historical overage: 38%. Recommend adding 2 days before kickoff.
87% confidence based on 14 similar sprints
Risk Pattern
API risk matches past delays
API-related blockers preceded 2 of your last 3 launch delays. The current API rate limit flag is structurally identical to the Q3 blocker that caused a 2-week slip.
Escalated · Resolution path attached
Decision Signal
Customer feedback shift detected
Feedback patterns over the last 90 days match the signals that preceded your April roadmap pivot. Product Agent has flagged for next planning cycle review.
Trend confirmed across 3 feedback channels
Velocity Insight
This team runs fast on auth features
The pharmacy auth implementation is scoped at 8 story points. Based on 6 similar auth features, your team typically completes this type of work 22% faster than average. Estimate appears conservative.
Based on 6 comparable features
How It Works

One real day
with KoFlow.

From a customer call to a Monday morning brief — here's what the pipeline looks like when coordination is handled by agents.

10:14 AMCEO on Zoom
10:52 AMProduct Agent
Day 4In the codebase
Mon 7AMCEO Inbox
The call ends. The work begins immediately.
Northstar Health System wants a pharmacy integration before Q1. The meeting ends at 10:14. By 10:24, the Chief of Staff Agent has synthesized the conversation — timeline, resource requirements, risks against the current pipeline, three strategic options ranked by feasibility, and an MVP scope the CEO can actually respond to. No follow-up meeting required.
Full assessment delivered in 10 minutes. First draft of Option 3 attached. CEO approves by 10:51.
Approval becomes a sprint plan in under an hour.
The Product Agent converts the approved option into a complete PRD, user stories, and acceptance criteria. Tickets pushed to Jira. Engineering Manager Agent notified. Sprint plan drafted against real team velocity data — not the velocity your team wishes they had. No Slack threads. No handoff meetings.
PRD in Notion. Tickets live. Sprint kick-off scheduled. All before lunch.
A silent assumption. Caught before it costs anything.
On Day 4, a developer adds a client-side caching layer. Reasonable call — but it contradicts a HIPAA requirement baked into the original PRD. No ticket was created for it. No one mentioned it in Slack. The Spec Consistency Layer catches it in the PR before it merges. Alert fires to the Chief of Staff with the original requirement text attached and a resolution path.
Four hours to resolve. Rework cost: zero. Without KoFlow: discovered in security review at week six.
The Monday brief arrives. Nobody wrote it.
Sprint velocity at 94%. Security review passed. API rate limit risk flagged at 68% probability — recommendation attached. One decision needed on analytics dashboard scope before Thursday. Northstar integration: on track for Q1 commitment. Everything the CEO needs in ninety seconds, ready before their first coffee, synthesized from every agent, every tool, every signal — automatically.
Delivered every Monday. Always current. Never assembled by a human again.

Before.
And after.

The same people. The same tools. The same goals. The only thing that changes is the infrastructure connecting them.

When Before After KoFlow
Customer call ends Slack the CoS, brief the PM, schedule a planning meeting, wait 3 days for a coherent answer Full assessment ready in 10 minutes. CEO responds to the customer with a credible plan the same afternoon.
A scope assumption changes Discovered in QA at sprint end. Two weeks of rework. Delivery slips. Customer is told. Caught in the PR before it merges. Four hours to resolve. Delivery holds.
Sunday night Chief of Staff assembles the Monday status update by hand. Two hours. Already outdated. Brief writes itself. CEO reads it at 7am. More accurate than anything assembled manually.
A decision needs to be made Email chain. Three meetings. Somebody calls an all-hands. Two weeks to resolve. Agent surfaces the decision with full context, a recommendation, and one-click approval. Done in a day.
A senior engineer leaves Months of recruiting. Institutional knowledge walks out the door. 1.5x annual salary to replace. Less likely to happen. The job is the job — not coordination overhead. The people who love building stay and build.
Gets smarter
the longer it runs.
Context Intelligence
Day 90
Sprint predictions grounded in your history
Not industry benchmarks. Your team's actual velocity on your type of work. KoFlow flags overcommitted sprints before kickoff, not after the first slip.
"Sprint 8 commitment is 18% above your 90-day average. Historical data suggests a scope reduction of 2–3 story points before kickoff."
Pattern recognition
Risk flags that match your specific failure modes
API-related blockers preceded 2 of your last 3 launch delays. That's not a coincidence — it's a pattern. KoFlow knows it and escalates early.
"The current API rate limit flag matches the exact pattern that preceded your Q3 and Q4 delays. Escalating now, not at week six."
The compounding moat
Context that no competitor can buy or replicate
Every sprint, decision, and outcome logged. After 12 months, the intelligence model is specific to your organization. The switching cost isn't the contract — it's the accumulated knowledge.
"This is the fourth time this type of ambiguity appeared in a PRD before a significant rework event. Recommending 3 questions be resolved before development begins."

Four agents.
One pipeline.

Each agent has a specific domain, a specific output, and a specific escalation path. They work in the tools your team already uses. They don't create new meetings or new processes. They reduce the existing ones.

01 — Chief of Staff Agent
Orchestrator & Intelligence Layer
Synthesizes · Coordinates · Delivers the brief
Joins meetings. Reads Slack. Watches every connected tool. Synthesizes the full picture into structured assessments in minutes — and delivers a role-appropriate brief to every stakeholder every Monday without anyone asking for it. Three-tier approval: autonomous on low-stakes, one-click confirm on medium, full escalation on consequential.
"This feature has a HIPAA dependency that will cause a 2-week delay if unresolved by Wednesday. Three options attached. Option 2 is recommended. Your call."
02 — Product Agent
Requirements & Spec Consistency
Translates · Monitors · Flags drift
Converts decisions into full PRDs, user stories, and acceptance criteria — then watches every PR and ticket to make sure what's being built matches what was agreed. The moment there's a divergence, it fires. Before the code merges. Before the sprint ends. Before it costs anything.
"PR #47 introduces client-side caching not specified in PRD v2.1. Original language: 'No client-side data persistence.' Resolve before merge."
03 — Engineering Manager Agent
Sprint Planning & Team Visibility
Plans · Runs standups · Surfaces blockers
Plans sprints against real velocity data. Runs async standups in Slack and synthesizes the responses into a blockers report. Surfaces risks to the right person at the right level of detail — the CTO gets the architecture risk, the CEO gets the business impact, the engineer gets a concrete next step.
"Sprint 8 is scoped 18% above your 90-day velocity average. Recommend removing either the analytics dashboard or the notification refactor before kickoff."
04 — Developer Agent
Code Integrity & Velocity
Maintains context · Flags divergence · Accelerates
Works inside GitHub alongside each developer. Maintains a continuous thread from the original PRD to every PR — so every code review includes not just "does this work" but "does this match what was decided." Handles boilerplate, test scaffolding, and documentation so developers stay in flow.
"This PR resolves the ticket. It diverges from acceptance criterion 3 on the error handling path. Suggested approach attached. Resolves in ~20 minutes."
Pricing

Per company.
Not per seat.

Visibility shouldn't have an access cost. One price. Every stakeholder in the loop.

Growth
$2,499
/month
~$83/day for a coordinated AI team
Teams of 15–50 · Series A
The full MVP pipeline from day one.
  • Chief of Staff, Product, EM & Developer Agents
  • Spec Consistency Layer
  • Native dashboard — works without any existing tools
  • 3 integrations (Jira or Linear, Slack, GitHub)
  • Weekly brief + risk dashboard
  • CEO & Chief of Staff views · SOC 2 Type II
Start Free Pilot
Most Popular
Scale
$5,500
/month
~$183/day · Replaces 1–2 coordination roles
Teams of 50–150 · Series B
All agents. All integrations. No gaps.
  • Full 10-agent roster (QA, Security, CI/CD, GTM included)
  • Spec drift alerts + cascade risk modeling
  • All integrations + Zoom & Teams meeting listening
  • Full persona views · Decision log · Audit trail
  • Unlimited projects · SSO · Third-party agent support
Start Free Pilot
Enterprise
Custom
Annual · Dedicated success
Procurement-ready on day one
Teams of 150–500+ · Growth & Enterprise
Private deployment. Full governance.
  • All agents including Compliance add-on
  • Private deployment + custom integrations
  • Multi-team pipeline management
  • Advanced governance exports · SLA guarantees
  • SOC 2 · HIPAA · GDPR · Priority support
Contact Us
SOC 2 Type II
HIPAA Ready
GDPR Compliant
SSO on all plans
Data never used to train shared models
All actions logged & reversible
FAQ
Common
questions.

Can't find what you're looking for? Email us at founders@koflow.ai

No. KoFlow's native dashboard includes task management, ticket tracking, notes, and documents — everything needed to run a product pipeline from day one. If you already use Jira, Linear, Notion, GitHub, or Slack, KoFlow integrates with them. You never have to choose between KoFlow and your existing tools, and you never have to migrate.
Incumbents are adding AI features within their individual tools. A Jira AI feature can summarize tickets. It cannot see that a delayed ticket in Jira will compress QA time in a way that puts a customer commitment at risk, then flag that to a CEO in business language while briefing the QA Agent to begin parallel test preparation. KoFlow's intelligence comes from seeing across all tools simultaneously — that cross-tool, cross-function intelligence is architecturally impossible for any single-tool AI feature to replicate.
Every recommendation includes its reasoning so you can evaluate the logic. Our three-tier approval model means agents act freely on low-stakes items, surface medium-stakes actions for a single confirmation, and escalate consequential decisions with full context and a recommendation. Nothing irreversible happens without a human saying yes. Every action is logged and reversible. The goal is a system that gets more accurate over time because it's designed to learn from every interaction.
Most customers receive their first meaningful insight within 10 minutes of starting — with or without an external integration. The weekly brief begins on the Monday following signup. Customers who connect three or more integrations in their first week consistently describe a step-change in organizational visibility within 14 days.
All organizational data is processed within an encrypted, isolated environment. We do not use customer data to train shared models. We are SOC 2 Type II compliant. SSO is available on Growth and Scale plans. All agent actions are logged and auditable. For regulated industries, our Compliance Agent add-on supports HIPAA and GDPR requirements.
Full access to the plan you select — all agents, all integrations, the full dashboard. No feature restrictions during the pilot. No credit card required. You'll have a real Chief of Staff Agent running within 10 minutes of signup. After 30 days, you choose whether to continue. No automatic charges.
Yes. KoFlow operates as an open agent ecosystem. Organizations that already use or build specialized AI agents for specific workflows can connect those agents into KoFlow's orchestration layer. KoFlow becomes the coordination and visibility layer above both native and third-party agents — giving leadership a single coherent view regardless of which agent is doing the underlying work. Available on Scale and Enterprise plans.
"For the first time, I can walk into a board meeting and speak with confidence about where our product is, what's at risk, and what we're doing about it — without calling an engineering standup first."
CEO · Series A SaaS Company
"I used to spend my Sunday nights assembling the Monday status update by hand. KoFlow drafts it automatically. It's more accurate than anything I could have built myself — and it's ready before I wake up."
Chief of Staff · B2B Technology Company
Get Started Today

The pipeline is broken.
KoFlow fixes it.

Start with the native dashboard or connect a tool you already use. The Chief of Staff agent will tell you something true about your pipeline before your first session ends.

Questions? founders@koflow.ai