We solve for the complexity that is holding back your business potential
We build an autonomous layer between your systems and your team: consultancy, development, implementation, and the autonomous processes that keep running afterwards. Your team sets direction and approves changes. The layer does the complex work while your team makes the decisions based on actionable data.
The Complexity Gap
Systems and processes have grown past the complexity that a human team can hold in their heads. The knowledge needed to optimally run these processes is fragmented across databases, tools, infrastructure, alerts, and whoever holds key knowledge in silo. Meanwhile we expect our teams to perform more data mining and analysis than they are humanly capable to perform with the current toolset and under short time frames.
The distance between those two realities is the Complexity Gap, and it widens on its own: every system you add, every integration, every alert. Nobody is failing. The work grew past the complexity ceiling that your team can operate in.
The complex work should be handled autonomously. Your team should set direction, ship product and approve changes. That clear division of tasks is where the value is, and the layer is how your business unlocks it.
Knowledge needed to run at full potential
What your human team can process
Complexity Gap
Complexity
Time
Solutions
Everything starts with data and automation, the foundation of the autonomous layer. Then specialized agents are added to run complex tasks autonomously, and your team is trained on data-driven decision making. We also offer fractional CIO and CAIO arrangements, providing the leadership needed to succeed in technology and AI centric projects.
The autonomous layer
Our engagement covers consultancy, development, implementation, and the autonomous processes that follow. It works on your data and sits between your systems and your team.
The lifecycle runs from data ingestion and transformation, through technical and business analysis, to the reasoning and presentation of findings against the needs of the business.
We take a phased approach, from automation to autonomy, and each phase unlocks business value on its own. The layer, the process book and the evaluation criteria are yours, and none of it depends on our continuing engagement.
Specialist agents
Agents pointed at one function each: sales, logistics, production, quality control, purchasing, accounting.
They patrol, triage, learn, build and suggest against live data, then report what they found and what they would do about it.
We scope the build against your own processes, rather than fitting you to a plan chosen by your industry or your size.
Fractional CIO and CAIO
Benefit from a fractional Chief Information Officer, a fractional Chief AI Officer, or both: IT and AI decision making, a governance process, and a prioritization process that allocates resources efficiently.
We operate under defined end goals and a written handover.
A vertical IT/AI organization
The whole function, built: the systems, the automation, the agents, and the people who direct them.
Leveraging AI and automation where it is genuinely cheaper, and saying so plainly where it is not.
For a business that needs the capability and does not want to spend years hiring its way to do it.
Method
Four phases, and each one ends with a deliverable. You set the cadence.
First
Consultancy
We read the systems, the data and the processes, and we talk to the people who operate them rather than only the people who commissioned them. The phase ends in a written assessment of where your Complexity Gap actually is, which is rarely where it is assumed to be.
Second
Development
We build the layer and its evaluation criteria together, because until there is a measurement every opinion about whether it is working is equally valid. That is the actual problem, and it is the part most programmes skip on the way to a demo.
Third
Implementation
The layer goes into your environment, against your data and your constraints. Authority is granted explicitly and one process at a time, and every failure mode is named and bounded before anything is allowed to act on its own.
Continuous
Autonomous operation
The layer runs. It adapts, investigates, reports and recommends, at a cadence and a depth you set. Your team sets direction, ships product and approves changes. The final say does not move.
Industries
While our process is industry-agnostic, we have deep knowledge in a number of industries based on years of experience and the real-world delivery of systems and process (re)engineering.
Financial Services
Subject matter expertise in fixed income and equity derivatives at large financial firms and investment banks, providing business analysis, design, and the implementation of state-of-the-art trading and risk-management systems and processes.
Investment Management
Designing and developing end-to-end trading platforms for investment management firms and family offices: market data ingestion, research, testing and validation, execution, and risk management.
Technology
Large-scale implementations of hybrid cloud infrastructure, data warehousing, real-time business analytics engines, and custom ERP/CRM systems.
Manufacturing
Design and implementation of industrial production lines, Industry 4.0 and 5.0 automation, and product-development and innovation centers.
Logistics
Globally integrated logistics modules that optimize cost, quality of service, and just-in-time objectives across complex multi-warehouse, multi-destination, multi-lane shipping matrices.
Insights
The process book is the deliverable, not the model
A system only one person can operate has not been delivered, it has been demonstrated.
A wrong answer that sounds right is the expensive one
A system that tells you it does not know is an inconvenience. A system that gives a wrong answer with the same confidence it shows when it is right is a liability.
The measurement has to exist before the model does
A team that cannot tell improvement from variance will ship the version that happened to demo well.
Questions
What is the autonomous layer?
A layer between your running systems and your team. It ingests the relevant data, owns the complex analytical work, and returns the output, the reasoning and a recommendation. Your team decides what happens next.
Who has the final say?
Your team, on every change. The layer investigates, measures and recommends. It does not approve its own work, and the authority it holds is granted one process at a time.
Is this a product or a service?
One engagement covering both: the consultancy that finds the gap, the development and implementation that close it, and the autonomous processes that keep running. You own what we build.
Do you need write access to our systems?
Not to start. The consultancy phase is read-only. Write access is granted deliberately, per process, after the failure modes are named, and never as a condition of beginning.
What is the difference between the CIO and the CAIO?
The CIO owns the systems and the spend. The CAIO owns what is safe to automate and how you would know. They go together here because the layer is both of those decisions at once.
What do we keep?
The layer, the process book, the evaluation criteria and every written finding. All of it is yours and none of it depends on us staying.
Firm
Alvaro J. Guerrero
Founder & Principal
Alvaro J. Guerrero has done this work from both ends: building the systems, and being answerable for what they do once they are running. He has architected enterprise systems, and developed and operated them end to end, among them a production research and trading platform he currently runs. His industry experience runs from subject matter expertise in financial services and investment management to operations-heavy sectors such as manufacturing and logistics. In each he has built globally integrated systems and automated the processes, controls and reporting around them.
For more than a decade he ran operating companies, sitting on the executive, finance and operating committees of a family-owned group with a global operational footprint. That is the other end: accountable for the systems, the budget and the teams that ran them, which is the same set of decisions a fractional CIO or CAIO is brought in to make.
His early career was in Investment Banking, namely Fixed-Income and Equity Derivatives. He held Vice President roles at Lehman Brothers and Barclays Capital, and was a Senior Financial Analyst at Fannie Mae.
He holds an MBA from the MIT Sloan School of Management, where he concentrated in Financial Engineering, and a B.S. in Economics from the Wharton School at the University of Pennsylvania, with concentrations in Finance and Information Systems.
