Senior people. Real engineers. No slide decks.
Is this you?
Does AI in your company feel more like a pilot than a P&L line?
Pilots and demos that never reach production.
Teams using ChatGPT with no process and no data rules.
People retyping data from spreadsheets and email into the ERP.
Vendors selling licenses, not outcomes.
Nobody owns AI inside the company.
Worry about where your company's data ends up.
Sounds familiar?
Introducing RoleHack
The A-to-Z system for AI that reaches production
Powered by ArkusNexus
Senior AI consulting with 23 years of engineering behind it.
Four agents for finance and operations
Each one runs inside your systems, with a person approving the steps that matter. We start from a standard build, so a pilot takes weeks, not quarters.
Invoices and accounts payable
Reads each invoice, checks it against the PO, posts it to the ERP.
Orders and quotes into the ERP
Turns emails and spreadsheets into clean ERP entries.
Close and management reports
Pulls the numbers from your ERP, consolidates entities and flags variances. The math runs in code; AI reviews and explains.
Purchasing and job-cost control
Matches purchase orders, invoices and progress against budget, and flags overruns early.
Software company? We also build AI features into your product, with an ArkusNexus product pod.
In a very practical and simple way, AI became accessible to my team and me. Since the workshop we know how to use a tool that makes our work easier, faster and better across every area of our company. I highly recommend it.
Translated from Spanish
José Ortega
Commercial and Operations Director, Grupo Procsa
How we work
From the first call to agents in production.
Discovery call
45 minutes · no cost
01
We map how the work gets done today
02
We spot 2 or 3 places where an agent fits
03
Written summary in 24 hours
04
A clear next step, or an honest "not yet"
AI Ops Lab
1 day · up to 20 people
01
Hands-on session on your own processes
02
A working agent demo on a sample of your data
03
3 to 5 use cases ranked by hours saved, effort and risk
04
Pilot scope and price before we leave · 50% credited within 45 days
AI Opportunity Assessment
3 weeks · across several teams
01
Interviews and process mapping across teams
02
Use cases ranked with an ROI model your CFO can check
03
A working prototype of use case #1
04
90-day roadmap and a signed-off build estimate
Agent Pilot
6 weeks · one agent
01
Connected to your ERP, CRM, email or spreadsheets
02
Human approval gates and a log of every action
03
Exact numbers run in code; AI reviews, explains and flags
04
Two weeks supervised by your team, then gradual autonomy
AI Operations Program
3 to 4 months · 3 to 5 agents
01
3 to 5 agents, in two phases
02
Data integration across your systems
03
Private infrastructure option for sensitive data
04
Four human sign-off gates (ArkusNexus AIDLC)
Run & Improve
Monthly
01
Monitoring and tuning of every agent
02
New tasks as your team finds them
03
Monthly report of hours saved and errors caught
04
Your team trained to supervise and extend each agent
50% credited to your pilot
Start with a 1-day AI Ops Lab
1 day, remote or on-site
Your real files
Up to 20 people
Pilot proposal the same day
WHAT THE LAB COVERS
A hands-on session with your finance or operations team
A working agent demo on a sample of your data
3 to 5 use cases ranked by hours saved, effort and risk
Agent Pilot scope and price, presented before we leave
AI
Why us?
Senior consulting. Real engineering.
23+ years of engineering
ArkusNexus engineering behind every pilot and build.
250+ vetted engineers
Nearshore teams in the US, Mexico and Colombia with US time-zone overlap.
150+ clients served
Engineering clients served by ArkusNexus.
4 human sign-off gates
ArkusNexus AIDLC: nothing ships without your approval.
Numbers you can audit
Totals and reconciliations run in code, not in a chat. AI reviews, explains and flags.
Your data stays yours
NDA from day one, read-only access and the option to run models inside your own infrastructure.
Engineering figures: ArkusNexus.
Pricing
Choose your path to AI in production
Start small, prove it on one process, then scale. Every step is credited or scoped into the next one.
AI Ops Lab
$9,500
1 day remote · $12,500 on-site
What’s included
Up to 20 people from finance or ops
Works on your real files
A working agent demo on a sample of your data
3 to 5 use cases ranked
Pilot proposal the same day
50% credited to a pilot signed within 45 days
Agent Pilot
Fastest path to production
From $30,000
6 weeks · one agent
What’s included
One standard agent live in your systems
Human approval gates and action logs
Exact numbers run in code; AI reviews, explains and flags
First month of Run & Improve included
Your team trained to run and extend it
Priced by integrations and infrastructure, scoped in the Lab
AI Operations Program
From $120,000
3 to 4 months · 3 to 5 agents
What’s included
3 to 5 agents across teams
Integration with your ERP, CRM and data
Private infrastructure option for sensitive data
Built with ArkusNexus AIDLC
Private infrastructure option for sensitive data
Scoped after a Lab, an Assessment or a Pilot
Also available
AI Product Pod · From $35,000 / month
Run & Improve · monthly, scoped per agent
AI Opportunity Assessment · From $20,000 · 3 weeks · across several teams · 50% credited
Is this for you?
RoleHack is a perfect fit if you're...
THIS IS FOR YOU IF:
A company with 100+ employees
Ready to put AI in production, not in slides
Able to name an executive sponsor
Sitting on a process with a measurable cost
Planning to build in the next 6 months
THIS IS NOT FOR YOU IF:
You want a free workshop
You only want a strategy deck
You expect guaranteed ROI
You can't share data or system access
You're shopping for the cheapest hourly rate
Meet the team
The people behind your agents
FAQ
Questions buyers ask us
How much does it cost to start?
The AI Ops Lab is $9,500 for one remote day, or $12,500 on-site, and 50% is credited to an Agent Pilot signed within 45 days. Pilots start at $30,000, priced by integrations and infrastructure.
How fast can we have something in production?
An Agent Pilot puts one agent in production in 6 weeks, supervised by your team for the first two. A full program takes 3 to 4 months.
Do we need to change our ERP or systems?
No. Agents work with the systems you already use: your ERP, CRM, email and spreadsheets. If something can’t be connected, we tell you in the Lab, before you buy a pilot.
What happens with our data?
We sign an NDA before we see anything, use read-only access wherever possible and log every action an agent takes. If your policy requires it, models can run inside your own infrastructure.
Do you work in the United States and Mexico?
Yes. US companies are served in English by teams in the US, Mexico and Colombia with full US time-zone overlap. Companies in Mexico and Latin America are served in Spanish.
Which AI models do you use?
We are model-agnostic and choose per use case: Claude, OpenAI, Gemini or open-source models, orchestrated with tools such as n8n or custom code.
What happens after launch?
Run & Improve keeps agents monitored, tuned and extended, with a monthly report of hours saved and errors avoided.
How is this different from setting up agents in ChatGPT?
A chat can get a total wrong and give a different answer each time. Anything that must be exact, like totals and reconciliations, runs in code; AI reads documents, reviews, explains and flags. And the agent keeps running, monitored and measured, after we hand it over.
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