The chief of staff for engineering teams of humans and AI agents
Run engineering ops like a Fortune 500 CTO.
Give the AI a goal and it plans, assigns, and estimates the work across your GitHub — ranking people by skill, availability, and real cost per task. Preview the plan, then let it run.
09:38Devon clocked in · 8h target · 2 tasks queued
The cost of running ops in 2026
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
Cost never reaches the decision.
You assign work on gut feel and availability. What each task actually costs — the hours times the rate — never enters the call, so a senior burns budget on work a mid-level could own.
Cost ·The cost of a bad assignment shows up a sprint too late
— The decision happens in standup. The invoice happens at quarter-end.
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.
Same Friday · two ways of working
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.
In the wild · Friday 09:14
Unclear
Slack: “who's on PR-482?” · 4 unanswered
Standup ran 47 minutes · 8 attendees · no decisions
What did that task cost? · unknown
3 AI tools running · nobody owns the bill
Devon picked up his 4th task in a row · capacity still listed at 100%
Friday cost · unknownDecisions made · 0
On Infersync · Friday 09:14
Itemised
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
Friday cost · £6,420 itemisedDecisions · 14
Same team, same Friday, same goals. Infersync is the difference between “we’re busy” and “here’s what we shipped.”
One platform, three jobs
The chief of staff your team is missing.
Not a task manager. Not a timesheet tool. A chief of staff that decides who does what, tracks every pound spent, and scales output without scaling headcount.
01 · Orchestration
Humans for judgment. Agents for execution.
Tasks route automatically by skill, cost, and availability. Routine work goes to agents. Reviews and architecture stay with humans.
Write tests for /auth endpoint
£24
Approve schema migration
£42
Update API docs
£12
50% of routine tasks automated
02 · Intelligence
The AI knows what every task costs.
Time tracking captures real hours on each work item. Hours times rate is the exact cost per task — and the AI COO assigns by it, routing work to the best-fit person at the right price.
Add Stripe webhooks
assigned to Jane · mid
£186
Wire SSO callback
assigned to Sam · senior
£312
Email templates
assigned to Coding Agent
£14
Audit-log query
assigned to Priya · mid
£128
Cost-aware assignment on every task
03 · Scale
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.
Headcount
15
humans
+ Agents
4
always-on
Effective output
18 FTE
Ship time reduced 40%
— North star · §002 —
Zero latency between truth and belief, for every mind alive.
Engineering teams already know what to do. They need fewer meetings, clearer ownership, and the receipts to prove the work was worth it.
The Infersync team
From request to shipped
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
What you get
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.
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.
Saves ≈ 40 hrs / month per team
GitHubAnthropicOpenAI
"Add input validation to /signup" → PR #483 opened in 4m
QA Agent
Reviews PRs, runs tests, flags requirement gaps.
Saves ≈ 30 hrs / month per team
GitHub ChecksVitestPlaywright
PR #483 → 2 issues found, 12 tests added, ready for human review
Design Agent
Drafts UI specs and Figma mockups from requirements.
Saves ≈ 25 hrs / month per team
FigmaDesign tokensStorybook
"Design empty state for /reports" → 3 variants in Figma
Documentation Agent
Keeps technical docs in sync with shipping code.
Saves ≈ 20 hrs / month per team
MarkdownNotionGitHub Wiki
PR #483 merged → public API docs updated automatically
Bring your own LLM keys — pay per token, not per seat.
Receipts, not promises
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.”
Head of Engineering
Mid-market SaaS · 22 engineers · early-access
Ledger/before → after
Sample team · 18 eng
Wk 1
Hours/week spent on task assignment
Routing rules took 22 minutes to set up.
11h 30m→1h 45m
−85%
Wk 2
Real cost per task
From tracked time, the AI assigns by it.
Unknown→Per-task
✓
Wk 3
Ship time (median feature)
Routine work moved to agents; humans reviewed.
9 days→5 days 6h
−40%
Mo 1
Monthly engineering spend (team of 18)
One avoided hire. The number repeats every month.
£74,200→£62,400
−£11,800
Mo 1
Effective output (FTE)
Same humans, four always-on agents.
15→18
+20%
End of periodNet effect: +18% output · −16% spend
Your numbers will vary — in our experience, they vary up.
Run the numbers
Your ROI, live and itemised.
Drag the sliders. The receipt updates as you go — no email required.
Inputs
Tier
Operations adds ~18% effective output. Agents averages ~30% on top of the cost lens.
Receipt · estimated
Workspace #—
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
Annual net
£191,700
ROI
71.0×
Payback
1 days
The math is conservative. Your first sprint usually beats it.
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.
Issue 003/preview
“The week we shipped a feature faster than we estimated it — and what the cost lens caught that the sprint review didn’t.”
3-min read · 1 chart · 0 GIFssent first Tuesday
We’d rather earn the inbox than fill it.
Pricing
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.
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, availability, and cost, then tells you what each task actually cost to deliver. We sit one layer below your task manager, not next to it.
Issue 001 · 2026
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.
