Your operations.Running themselves.

We build AI agents that take over the manual, repetitive, and expensive work slowing your operations down.

A few honest questions

Question 01Not sure which AI tools actually fit your business?

Question 02Don't know which of your workflows can even be automated?

Question 03Unsure what an AI agent would actually do in your day-to-day operations?

Question 04No idea what it would cost, or how much you're already losing without it?

You're not supposed to have the answers yet. That's the consultation.

Let's map it out together
Solutions in practice

This is what an agent actually does.

Nine real workflows from a handful of industries we know well, from logistics reconciliation to healthcare intake to legal contract review. Each card shows the manual process before an agent steps in, what the same workflow looks like after, and the typical impact range published benchmarks report. The same shapes repeat across any industry with manual, repetitive operations work; the constraints change.

Logistics and Supply Chain

Purchase-order reconciliation

Before

Staff spend several hours each day manually matching purchase orders against invoices, with frequent discrepancies left unresolved.

After

An agent cross-references every PO and invoice automatically, routes exceptions to a human, and closes clean matches without intervention.

Processing cost reduced by roughly 60 to 75 percent
Healthcare

Patient intake and scheduling

Before

Front-desk staff handle repetitive intake calls, manually enter form data, and send appointment reminders one by one.

After

An agent collects intake information, pre-screens eligibility, routes each patient to the right provider, and sends automated reminders.

Administrative workload cut by approximately 70 percent
Legal

Standard contract review

Before

Junior associates spend billable hours reading contracts clause by clause to flag non-standard language before escalation.

After

An agent scans the full contract, highlights deviations from standard templates, and produces a summary for counsel sign-off.

Review time drops from hours to minutes per contract
Banking and Finance

Loan application pre-screening

Before

Analysts manually pull credit reports, verify income documents, and score applications against policy rules before any decision is made.

After

An agent fetches bureau data, validates supporting documents, applies policy rules, and delivers a structured recommendation to an underwriter.

Pre-screening throughput increases several times over
Retail and E-commerce

Return and refund processing

Before

Customer-service agents triage return requests individually, verify order history, and manually initiate refunds case by case.

After

An agent validates the return policy, confirms order details, issues eligible refunds automatically, and escalates edge cases only.

Resolution time shortened from days to under an hour on average
Manufacturing

Quality-control defect reporting

Before

Line supervisors fill out defect reports by hand at shift end, leading to delayed visibility and inconsistent categorisation.

After

An agent ingests sensor and inspection data in real time, categorises defects, updates the quality log, and alerts the relevant team.

Defect visibility lag reduced from hours to near real time
Insurance

First-notice-of-loss intake

Before

Claims staff collect loss details over the phone, transcribe information into the system, and assign an adjuster manually.

After

An agent guides the claimant through a structured intake flow, populates the claims system, and routes the file to the appropriate adjuster.

Intake handling time cut by more than half on average
Real Estate

Lease abstraction and review

Before

Property managers read through lengthy lease documents to extract key dates, clauses, and obligations into a summary spreadsheet.

After

An agent parses each lease, extracts critical terms and dates, flags unusual clauses, and populates the tracking system automatically.

Abstraction time reduced from several hours to minutes per lease
Recruitment and HR

Resume screening and shortlisting

Before

Recruiters read every incoming application to determine basic fit before scheduling any initial conversation.

After

An agent evaluates each application against role criteria, scores candidates, and surfaces a ranked shortlist for recruiter review.

Time to shortlist reduced by around 80 percent per open role
The impact

What changes when an agent takes over.

Across every engagement the same pattern holds: work that used to drain hours and attention becomes quiet, dependable, and measurable. Six dimensions shift at once. The work runs around the clock, behaves consistently, finishes far faster, costs less, needs less oversight, and scales without the corresponding headcount climb your finance team has been bracing for.

Always on

An agent works every hour of every day, all 365 days a year, with no shifts, no leave, and no downtime.

Consistent every time

Every task is completed the same correct way, without the variation that builds up across people, teams, and busy days.

Dramatically faster

Work that used to take hours or days is finished within minutes of the moment it arrives.

Lower running cost

An agent runs at a small fraction of the salaries, software, and error costs of the manual process it replaces.

Far less oversight

Agents handle the routine in full and raise only genuine exceptions, so your team manages by exception rather than by hand.

Scales without hiring

Volume can climb sharply without a matching climb in headcount, because an agent absorbs the extra load instantly.

How we build

Autonomy, with guardrails.

A clear four-step method in which the agents do the routine while every consequential decision stays with your team. We map the real workflow, isolate exactly what the agent should own, build it into the systems you already run, and hand you the controls (dashboards, overrides, and escalation paths) so you stay in command of every outcome the agent produces.

01 · Map

We map your real workflow

We document the actual workflow, not the idealised version, tracing every manual step, every exception, and every place where hours leak.

02 · Isolate

We isolate what agents should own

We identify precisely which tasks belong to automation and tell you clearly which ones should stay with your team.

03 · Build

We build it into your stack

Production-grade, wired into what you already run. No rip-and-replace.

04 · Command

You stay in command

Dashboards, override controls, and escalation logic ensure that you remain in full control of every outcome the agent produces.

What it costs

Honest pricing, sized to the problem.

You do not need an enterprise budget for a workflow that handles a few hundred items a week. We size every build to the job in front of it. Small workflow, small price. Multi-agent system across a department, larger price. We cut cost wherever it can be cut, rather than inflating it to look serious.

From $240 a month

That is enough to put one entire department on autopilot, with an agent that monitors its own work and improves every single day.

Covers tools and tokens for the running agent on beginner / simple workflows. Tokens and tools cost varies with workflow complexity and the integrations required. Build, integration, and engagement fees are quoted separately.

Automate your marketing department

A marketing agent connects to Meta Ads, Google Ads Manager, and your other marketing tools. It pulls performance data every day, watches each campaign as it runs, and analyses what is converting and what is wasting spend. It then shifts budget toward the ads that work and pauses the ones that do not, so your team spends its time on strategy instead of building reports.

Automate your HR department

An HR agent takes over the repetitive side of hiring and people operations. It screens incoming applications, ranks candidates against each open role, schedules interviews, and keeps every applicant informed. It also answers routine questions on leave and policy, tracks onboarding tasks that fall due, and surfaces early signs of attrition.

Larger, multi-agent systems scale up from there, and we will only ever recommend the scope your problem genuinely needs.

The first conversation

You don't need to have it figured out.

Send us a sentence about the routine that drains the most time from your team, the one your best people keep getting pulled into. We will reply within one business day with three concrete observations on whether and how an agent could take it over, with no obligation to engage further.

No urgency tactics · No discount pressure · A door, left open