- sso-integration£5.1k
- stripe-webhooks£2.3k
- /reports rewrite£3.2k
Run engineering ops like a Fortune 500 CTO.
Coordinate humans and AI agents on one platform. Auto-assign tasks by skill and cost. See exactly where engineering money is burning — and ship 30% faster without hiring.
No credit card · Set up in 15 minutes
- Validate signup payloadauth-service · 32m£18
- Refactor billing webhookspayments · 2h 14m£186
- Write tests for OAuth flowauth-service · 48m£24
- Review PR #482 (cost optimizer)platform · 22m£42
Three quiet leaks eating 20–30% of every engineering budget.
They don't show up in your standups. They show up in the bottom line. Each one is a single decision away from being closed.
- 01 / 03
Task assignment is still a meeting.
Managers spend 10+ hours a week deciding who picks up what. The wrong person gets the task, bottlenecks form, and senior engineers burn cycles on routine work.
Cost ·≈ 1–2 FTE / quarter wasted on coordination— Most teams discover this in their first sprint retro — and never fix it.
- 02 / 03
Money disappears between standups.
You know the monthly burn. You don't know the cost-per-feature, cost-per-repo, or cost-per-sprint. A £5k feature that returned £2k of value hides in plain sight.
Cost ·Budget overruns surface at quarter-end, not week one— Finance asks the question on Friday. Engineering can't answer until Tuesday.
- 03 / 03
Your AI tools work for nobody.
Copilot, Codespaces, custom agents — all running in silos. Nobody knows which agent owns what, what it cost, or whether it's earning its keep.
Cost ·The productivity bump you paid for never lands— It's like hiring contractors and never reading their invoices.
Coordination in the wild vs. on Infersync.
Both screenshots are 09:14 on a Friday. One team is firefighting. The other is shipping — with the receipts to prove it.
Slack: “who's on PR-482?” · 4 unanswered
Standup ran 47 minutes · 8 attendees · no decisions
Cost-per-feature this sprint · unknown
3 AI tools running · nobody owns the bill
Devon picked up his 4th task in a row · capacity still listed at 100%
Coding Agent claimed PR-482 · 09:14 · est. £24
Sarah owns auth migration · senior tier · capacity 60%
Stripe webhooks shipped · £2,310 actual vs £2,800 planned
4 agents tracked · cost-per-task auto-attributed
Devon · 2 active tasks · capacity 75% · next free Mon AM
Same team, same Friday, same goals. Infersync is the difference between “we’re busy” and “here’s what we shipped.”
The operational layer your team is missing.
Not a task manager. Not a timesheet tool. An operational OS that decides who does what, tracks every pound spent, and scales output without scaling headcount.
Humans for judgment. Agents for execution.
Tasks route automatically by skill, cost, and capacity. Routine work goes to agents. Reviews and architecture stay with humans.
See every pound spent on engineering.
Cost per feature, per repo, per sprint. Burn rates trend in real time so over-spend gets caught the day it happens.
Ship 30% more without hiring.
Add agent capacity in minutes, not months. A team of 15 + 4 agents delivers like 18 FTE — without the £500k payroll.
Engineering teams already know what to do. They need fewer meetings, clearer ownership, and the receipts to prove the work was worth it.
A single workflow, end to end.
One pipeline turns a plain-English instruction into a deployed feature — with cost, ownership, and outcome accounted for at every step.
- 01
Capture
Type a plain-English instruction into the AI command bar — assign work, reallocate budget, set an objective. No tickets, no templates, no Jira workflow.
→ Add email validation to signup flow - 02
Decompose
Infersync reads the request, pulls repo context, and breaks it into ordered, estimable subtasks.
→ 4 subtasks · est. 6h · est. £240 - 03
Route
Each subtask goes to the right resource: routine work to agents, judgment calls to humans.
3 routed to agents · 1 routed to Sarah - 04
Execute
Agents draft code and tests. Humans review and merge. Every step posts back to Slack and GitHub.
PR #482 opened · awaiting review - 05
Ship & account
Feature ships. Real cost is recorded against the feature, repo, and sprint. The next planning cycle uses it.
Shipped in 6h · actual cost £234
Built for the way modern engineering orgs actually run.
One product, six jobs done well. Each one replaces a tool you're already paying for — and connects them so the data finally adds up.
Attendance & time accounting
Clock-in, clock-out, breaks, and leave, captured in the same place engineers already work. No separate timesheet ritual. A daily auto-reminder nudges anyone who hasn't clocked in yet so the data stays complete.
Task assignment & routing
Auto-assign by skill, capacity, and cost. Push routine work to agents; keep judgment calls with humans.
Cost tracking
Real cost per feature, per repo, per sprint. Catch over-spend the day it happens.
GitHub-native, two-way
Issues, PRs, branches, and reviews already capture the truth. We connect cost and ownership to them, and let you edit titles, labels, assignees, state, and comments directly from Infersync. Your code stays in your GitHub: we never mirror your repos.
Slack-native
Task assigned, blocked, finished — the team sees it where they already are.
Agent orchestration
Four built-in agents — coding, QA, design, docs — backed by your own LLM keys. You stay in control of cost and data, pay per token, not per seat.
Four teammates who don't sleep, don't bill overtime.
Four agents that plug into the same task queue as your humans. They use your LLM keys, follow your codebase conventions, and answer to the same review process.
Coding Agent
Writes code, tests, and PRs against your repos.
QA Agent
Reviews PRs, runs tests, flags requirement gaps.
Design Agent
Drafts UI specs and Figma mockups from requirements.
Documentation Agent
Keeps technical docs in sync with shipping code.
Bring your own LLM keys — pay per token, not per seat.
The numbers move the same way every time.
Averaged across early-access teams of 10–25 engineers plus a small agent fleet. We'd rather show you the ledger than the marketing slide.
“The cost view is the part I wish I'd had three years ago. We killed a weekly meeting and shipped two features early in month one.”
- Wk 1Hours/week spent on task assignmentRouting rules took 22 minutes to set up.11h 30m→1h 45m−85%
- Wk 2Cost-per-feature visibilityFinance stopped asking on Fridays.Unknown→Per-PR✓
- Wk 3Ship time (median feature)Routine work moved to agents; humans reviewed.9 days→5 days 6h−40%
- Mo 1Monthly engineering spend (team of 18)One avoided hire. The number repeats every month.£74,200→£62,400−£11,800
- Mo 1Effective output (FTE)Same humans, four always-on agents.15→18+20%
Your numbers will vary — in our experience, they vary up.
Your ROI, live and itemised.
Drag the sliders. The receipt updates as you go — no email required.
Operations adds ~18% effective output. Agents averages ~30% on top of the cost lens.
- Current monthly engineering spend
- £90,000
- Infersync subscription (15 seats)
- + £225
- Effective output uplift (in £ value)
- + £16,200
- Net monthly value (uplift − subscription)
- £15,975
The math is conservative. Your first sprint usually beats it.
Start free trialReceipts, not noise. Once a month, in your inbox.
One short email: product launches, agent rollouts, pricing changes ahead of time, and lessons from running hybrid human-AI teams. Read in two minutes. Unsubscribe in one click.
“The week we shipped a feature faster than we estimated it — and what the cost lens caught that the sprint review didn’t.”
We’d rather earn the inbox than fill it.
Transparent pricing. Real ROI from week one.
One subscription replaces several. A team of 15 on Operations costs less than the meeting time you'll get back in the first sprint.
Billed monthly — cancel anytime.
Base
Manual coordination, made calmer.
- Team management (up to 50 seats)
- Task assignment & routing
- Slack notifications
- Attendance and leave tracking with daily clock-in reminders
- Standard dashboards
Operations
Coordination + the cost lens.
- Everything in Base
- Cost-per-feature & burn analytics with assignment budget gates
- Capacity planning & forecasting
- Two-way GitHub control (issues, PRs, labels, assignees, state, comments) & audit trails
- Advanced dashboards & CSV exports
Agents
Hybrid human-AI orchestration.
- Everything in Operations
- Coding, QA, Design, Docs agents
- Bring-your-own LLM keys
- Figma, Notion, GitHub Wiki integrations
- Agent cost tracking per task
Enterprise
For teams above 100 engineers.
- Everything in Agents
- Dedicated success engineer
- SLA-backed uptime & support
- SSO, SCIM, extended audit log retention
- Workspace export + 30-day hard-delete on cancellation
- Custom integrations and reports
14-day free trial on Base & Operations. No credit card required. Cancel anytime. Trial workspaces get Operations-tier features unlocked for the full 14 days. Tour the dashboard.
- Those are task managers — they store work. Infersync orchestrates work: it routes tasks to humans or agents based on skill, capacity, and cost, then tells you what each task actually cost to deliver. We sit one layer below your task manager, not next to it.
Run engineering ops like it's 2030 — starting Monday.
Join the engineering teams shipping faster with fewer surprises, smaller payrolls, and the receipts to prove it.
Set up in 15 minutes · see ROI in the first sprint · cancel anytime.