Operations & AI Transformation
Leads the diagnostic, process decomposition and operating-model redesign. Defines decision rights, controls, success metrics and agentic workflows, and connects business economics with production implementation.
Group CTO · AI & agentic transformation
An operating mandate for AI transformation
Group CTO for founder-led groups, family offices and portfolio companies. A fixed-fee diagnostic, then an operating mandate with delegated authority, a budget envelope and a weekly operating review with the CEO. Under NDA.
Operating mandates from US$150,000 per year.Diagnostic and delivery priced separately.
Remote worldwide
Approach
One mandate, two operating disciplines
Operating transformation without engineering authority produces presentations. Engineering without operating authority automates the existing problems. The mandate brings both together.
Read the argument- Weeks 1–8
Fixed feeDiagnosticWorkflows and decision loops mapped, operational and economic baselines set, bottlenecks and unnecessary gates found, process problems separated from technology problems. It ends with a transformation portfolio (what to stop, redesign, automate conventionally, and what genuinely benefits from AI or agents) and a governance design: who decides what, with which budget. - Annual
retainerOperating mandateDelegated decisions, budget, team and roadmap. Changes to processes, systems, responsibilities, incentives, controls and data flows, integrated into real production and owned through slower adoption, exceptions and wrong first assumptions. - Every weekOperating reviewAn embedded review with the CEO, and the board when needed: decisions, risks, budget, ownership and metrics against the baselines.
- Scoped
separatelyDelivery capacityYour own teams, DGTL.TECH engineers or selected contractors. Delivery is planned and priced on its own, so it never quietly consumes the mandate.
Leadership
Operating leadership, not an advisory layer
DGTL.TECH combines operating transformation with technical ownership. One lead decides what must change in the business and how the new operating model works. The other makes sure the systems behind it can be built, integrated and run reliably. Both stay directly involved for the whole mandate, with no hand-off to junior consultants.
Architecture & Engineering
Technology leadership since 2005 across banking, financial software, startups and proprietary products, from complex networked systems to agentic AI development. Owns architecture, engineering quality and production delivery.
Track record
Operated, not advised
DGTL.TECH builds and runs its own systems end to end, serving more than 70,000 customers. The mandate is the same work, done inside your company.
- ProductsConsumer and business products designed, built and operated in-house, from apps to SaaS platforms.
- Regulated operationsA RIPE NCC member LIR: address space, ASN and RPKI managed under registry policy.
- InfrastructureOwn network and production platform, run by the same team that builds the products.
- Agentic operationsAgentic AI in billing, financial control, customer support, infrastructure monitoring and marketing programs, with people approving where it matters.
Engagement
How the engagement works
Authority before accountability
We take accountability for the result only with authority over it: an executive sponsor, delegated decision rights, a budget envelope and a written list of decisions the CEO reserves. All four are agreed before the mandate starts.
Contract and confidentiality
A services agreement with a mutual non-disclosure agreement signed before access to any internal material. Your data, workflows and results stay yours.
Price and format
Diagnostic: a fixed fee agreed upfront. Operating mandate: an annual retainer from $150K. Delivery: scoped and priced separately. Remote worldwide.
Who it is for
Founder-led groups, family offices and portfolio companies whose CEO wants AI to change revenue, cost, speed, risk or customer experience, and is ready to delegate the authority to do it.