idari — autopilot, not copilot
Hire the agent.Not the software.
idari deploys AI agents that do the work of entire corporate functions — from Chief of Staff to Finance, Legal, IT, and Operations. You buy the outcome, not the seat.
01 · The shift
Most AI companies sell a tool that makes employees faster — a copilot, priced per seat, capturing the software budget. idari sells the work itself — an autopilot, priced per outcome, capturing the services and labor budget: the largest line items on any P&L.
02 · How an agent works
The work shows up done.Here's what that looks like.
The books close themselves.
The Finance agent pulls every journal entry from NetSuite, reconciles sub-ledgers against source documents, drafts variance memos, and routes them to your controller — before your team's coffee is cold.
Contracts reviewed against your playbook.
Every inbound MSA and NDA is parsed, checked clause-by-clause against policy, redlined, and routed to your GC with a memo. Nothing ships unreviewed.
The ticket queue clears itself.
Provisioning, password resets, license reconciliation — resolved autonomously. Mean time-to-close: 4 minutes 12 seconds. Hardware and security exceptions route to your humans.
The exec brief writes itself.
Calendar prep, board pre-reads, cross-team follow-ups — drafted from 47 live sources, figures cross-checked against the ledger before your CEO ever sees them.
A second agent reviews the first.
Every output is verified against source data by an independent model. Anything high-stakes — by dollar value, legal exposure, or customer impact — routes to a human approver. Full audit trail, always.
03 · The numbers
04 · Live simulation
Don't take our word for it.Watch an agent work.
Pick a scenario. These are illustrative transcripts of common scenarios — the agent connects to a sandbox of your stack, reasons through the task, executes, and validates its own output.
05 · The roster
Nine agents.One payroll line.
Chief of Staff
Runs the CEO's calendar, prep, follow-ups, board materials, and cross-team coordination. Drafts the weekly exec brief.
Finance & Close
Bookkeeping, AP/AR, month-end close. Validates work posted by your in-house finance team against source documents.
Legal Ops
NDAs, vendor contracts, regulatory filings. Reviews outbound legal documents against playbook before they're sent.
Operations
SOPs, vendor management, follow-ups across Asana / Jira / Linear, process documentation, escalation routing.
People & Talent
Recruiting ops, onboarding, policy Q&A, performance cycles, comp band maintenance.
Procurement
Sourcing, long-tail contract review, renewals, supplier reconciliation. Catches contract leakage humans don't have time for.
IT & Support
User provisioning, support triage, monitoring, patching, license reconciliation. Replaces your MSP.
Sales Ops
CRM hygiene, pipeline updates, deal-desk reviews, forecast prep, lost-deal post-mortems.
Marketing Ops
Campaign QA, attribution modeling, content briefs, brand-compliance review on outbound assets.
06 · Copilot vs autopilot
The status quo — copilot
You buy the tool.Your team still does the work.
- Priced per seat — pay for everyone, used by some
- Adoption is your problem; training is your cost
- Productivity gains are diffuse and unmeasured
- Captures only the software budget
- Outputs owned by whoever pressed the button
idari — autopilot
We deliver the work.You approve the outcome.
- Priced per outcome — paid only for what gets done
- No adoption curve — the agent does the work directly
- Function capacity expands without hiring
- Captures the services & labor budget — 6× larger
- Outputs owned by idari — SLA, audit trail, human approver
07 · Savings calculator
What does your back officeactually cost?
Defaults seeded from APQC, SHRM, PwC, and Gartner benchmark data. Adjust to match your reality — the math is transparent, expand the sources to see it.
Your company
Annual savings with idari
How we calculated this · sources
Finance: APQC Open Standards Benchmarking — top performers 0.56% of revenue, median 1.0%, bottom 1.8%. Default: 1.0%.
HR: SHRM 2024 — average HR spend 0.74% of revenue, ~$2,500/employee; Gartner 2024 — $2,908/employee. Default blends per-employee and revenue scaling.
IT: Gartner 2025 — IT spend averages 3.06% of revenue; varies by industry (banking 7%+, manufacturing under 2%).
Legal: ACC Chief Legal Officer Survey — in-house plus outsourced legal averages 0.4–0.7% of revenue for mid-market.
Procurement: Hackett Group — procurement function 0.5–1.2% of revenue depending on direct/indirect mix.
Loaded headcount: 1.3× base salary (benefits, taxes, overhead), per BLS-derived CFO benchmarks.
idari pricing: these figures are for deploying agents across a company — per-agent base scaling with transaction volume and company size, modeled here at 30% of current function spend with a $60K annual floor. Indicative; enterprise is custom-scoped. The single-person Chief of Staff is a separate, self-serve plan at $49/month.
Geography multipliers: US 1.0× · UK 0.95× · EU 0.92× · MENA 0.85× · APAC 0.65×. Defaults are conservative; bottom-quartile firms will see materially more.
08 · Deployment
Three weeks.Not three quarters.
Scope the role
One workshop with your team. We map the function — inputs, outputs, escalation rules, what "done" means. No vendor questionnaires, no 60-page RFPs.
Deploy into your stack
The agent connects to Google Workspace, Microsoft 365, Slack, Telegram, WhatsApp, Asana, Jira and Notion — with more added regularly. Read access first; write access on approval.
Work shows up done
Outputs land in your inbox, your CRM, your ledger — validated by a second agent and routed for human approval on anything high-stakes. Full audit log per output.
09 · Trust & validation
Every agent has a second agentreviewing it.
Data residency
Gulf · UAE North
Customer data is stored in the UAE today. US & EU regions are on our roadmap.
Model-agnostic by design
Azure OpenAI today
Self-hosted and bring-your-own-model for sensitive workloads are on our roadmap.
Human-in-the-loop
Configurable thresholds
Set per-agent rules — by dollar value, legal exposure, customer impact — for what requires human sign-off.
Audit trail
Every action logged
Reasoning, sources, decisions — journaled and exportable. Every write is reversible.
Access control
Least-privilege by default
Agents see only what they need to do the job. Role-based, scoped, revocable.
SLA · our goal
99.5% accuracy
We're building toward credited SLAs for enterprise engagements.
10 · FAQ
Honest answersto the hard questions.
How is this different from ChatGPT, Copilot, or Claude for Work?+
What happens when the agent is wrong?+
Who is accountable for the work?+
What systems do you integrate with?+
How is our data handled?+
Can we start with just one agent?+
How fast can an agent be deployed?+
Does this replace people?+
11 · The AI audit
Not sure which agentto hire first?
A two-week audit of your entire back office. We map every function to potential agent deployments, quantify the ROI, and hand you a 12-month roadmap. Built by operators — not a slide deck.
- AFunction-by-function readiness scoring — 9 functions, ~140 sub-processes mapped to autopilot potential.
- BQuantified ROI per potential agent — savings and capacity unlocked, with assumptions you can defend to your board.
- CTechnical readiness audit — data quality, integration maturity, security posture, system-of-record fragmentation.
- DPrioritized 12-month deployment roadmap with sequencing rationale and dependency map.
- ETwo stakeholder workshops + executive readout — alignment built in, not bolted on.
- Fully credited toward your first agent deployment
- NDA & IP protection signed up front
- Executive readout — in your office or remote
- Optional vendor-diligence extension, +$5K
12 · Contact