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Services / Independent CTO & product builder

What is slowing your business down?

I help founders and teams turn operational friction into a clear technical plan, then build the software to carry it out.

01 / Custom software & SaaS

Custom software and SaaS development.

Build the product your business needs: an MVP, a SaaS platform or a system that standard tools cannot cover.

Product scope, architecture, development and deployment. We define the smallest useful version first, so the roadmap follows evidence.

The outputA working product and a clear path to its next version.

I work with founders and business teams to turn a defined problem into a product they can use, review and operate. Before proposing development, I check what the existing tools can already solve.

When a custom build fits

A core workflow needs its own rules, users need a product you cannot configure in an existing tool, or your team has outgrown a shared spreadsheet. If configuration or a focused integration covers the need, I start there. A SaaS idea still needs evidence of a buyer and a problem worth solving.

What we agree before development

We define the first user journey, roles, data, integrations and acceptance criteria. We record exclusions, unresolved assumptions and who can approve changes. For a SaaS product, we also scope account separation, permissions and billing where needed; these decisions affect both development and operation.

Deliverables you can review

The proposal identifies what is included at each stage:

  • A scoped backlog and architecture decisions tied to the business workflow.
  • Working increments demonstrated against agreed examples, with test evidence and known limitations.
  • The agreed source code, deployment configuration, setup instructions and operating notes. Account access, third-party licences and handover responsibilities are made explicit.

How we accept the first release

For a hypothetical approval tool, I would check that an authorised user can submit a request, a reviewer can decide it, a user without permission cannot access it, and an operator can trace a failed action. We agree the relevant checks before building. Passing them confirms the agreed behaviour; it does not prove market demand.

Launch, maintenance and budget

We agree who handles deployment, monitoring, backups and recovery checks. Defect correction, ongoing support and new features have separate scope. Cost depends on workflows, integrations, data migration, access rules and operating requirements. I clarify unknowns before estimating, and agree support coverage rather than assuming round-the-clock availability.

A product you can inspect

Adslyfy brings campaign checks, workers, alerts and screenshot evidence into a monitoring platform. Its documented interfaces show how operators review executions and failures. Explore the Adslyfy case.

To prepare the first release, read how to define an MVP scope and how to compare a custom software quote.

Bring the workflow you need to build

Tell me who will use the product, what they need to complete, which tools you already use and what constraint matters most. I can review the fit and define a useful first scope with you.

Discuss your software project

02 / Automation & applied AI

Business process automation, with AI where it helps.

Turn repetitive tasks into reliable workflows. Use AI for classification, extraction or assistance where it earns its place.

I map the process, connect the tools and build the execution layer with queues, retries, monitoring and human review where needed.

The outputA repeatable workflow with visible exceptions and ownership.

I build automation around a specific operational task: sorting incoming requests, extracting document fields or preparing work for approval. We define the result your team needs, the exceptions it must handle and how to check whether the workflow is worth operating.

When to commission a custom workflow

I first check whether your current tools and a standard connector can cover the process. Custom work makes sense when there are several decision steps, approval rules or failures nobody can trace. If the process changes every week or has no owner, we need to clarify it before automating. Clear rules can stay as rules; AI needs a specific task and a way to evaluate its output.

What we agree before building

The first scope covers one workflow from trigger to verified outcome. We write down:

  • Inputs, systems, access permissions and the expected output, with representative examples and exceptions.
  • The volume to handle, acceptable delay and which actions need human approval.
  • Who owns the business rules, reviews uncertain results and handles failed work.
  • Acceptance checks, operating limits and the conditions for pausing the workflow or returning to the manual process.

What I deliver and how we accept it

Depending on the agreed scope, I deliver the process map, workflow configuration or code, acceptance checks and an operating guide. A hypothetical example: incoming documents become draft tasks for an operator to approve. Before release, we check that incomplete documents reach review, repeated inputs do not create duplicate tasks, and rejected drafts cannot trigger the next action. If a destination times out, we verify whether the action completed before retrying. The team rehearses pausing and resuming the process.

Ownership after launch

Your company keeps control of the configuration or code, documentation and agreed operational access. We identify who watches alerts, who can approve changes and who takes over when automation stops. Maintenance, incident response hours and changes to tools, models or business rules need explicit coverage. A delivered workflow does not imply unlimited support.

What determines the automation budget

I separate discovery and implementation from subscriptions, infrastructure, AI usage, human review and maintenance. The main variables are the number of steps and systems, input quality, approval rules, volume and recovery requirements. We compare the current manual effort with the total effort per accepted outcome, including corrections. If that comparison does not justify the work, I propose a smaller scope or improving the manual process first.

Operational evidence you can inspect

Adslyfy documents runs, workers, alerts and screenshots that help operators investigate failures. It shows the operational visibility I build around recurring work; it is not a claim about AI accuracy or savings for your process. Explore Adslyfy.

For the implementation decision, read AI agents vs workflows and, before commissioning the work, how to compare a software quote.

Bring one repetitive task

Tell me what starts the process, which tools it touches, its approximate volume and where someone has to intervene. Bring an anonymized example of a successful outcome and a failure. I can review the constraints and define a useful first delivery with you.

Discuss your automation project

03 / Internal platforms & integrations

Custom API and CRM integration services.

Connect APIs, data, CRM and backoffice tools so people can work from one coherent system.

Internal dashboards, integrations and operational panels. Permissions, data flows and failure handling are part of the design.

The outputConnected systems and a clearer view of the operation.

I connect existing tools when your team has to copy records, reconcile conflicting statuses or chase failed imports. We start with one business handoff and define what must arrive, where and who checks it.

When a custom integration makes sense

First I check whether the existing connector covers the required fields, permissions and failure handling. Custom development makes sense when your rules or legacy systems need more control. An internal panel is useful when people need to review exceptions; a dashboard alone does not fix inconsistent data.

What we define before building

The scope names the systems, the data owner and the person responsible for exceptions. We agree:

  • Which records and fields move, in which direction, and which system wins when values conflict.
  • How records are identified, how often they sync and what happens to historical data, corrections and deletions.
  • Which API access is available, its limits and permissions, and how credentials are managed.
  • What pauses an import, who receives the alert and how the team reviews and retries a failed record.

A handoff we can test

A hypothetical example: approved leads move into a CRM. Before release, we check that a replay does not create a second lead, missing required fields enter review, a temporary outage can be recovered from and a sales edit is not overwritten by an older import. We agree the acceptable delay and test the result in the receiving system.

Deliverables and ongoing ownership

Depending on the agreed scope, I deliver the field mapping, integration code, acceptance checks and an operating guide covering alerts, recovery and access. We identify who approves data rules and who maintains each system. Monitoring and incident response need explicit coverage; an API or field change can require follow-on work.

What determines the integration budget

The main variables are the available interfaces, data quality, number of flows, historical imports, sync frequency and recovery requirements. I separate the initial build from hosting, third-party subscriptions and ongoing maintenance. A first scope needs sample records, API documentation if available and examples of the failures your team handles today.

Operational software you can inspect

The Adslyfy case shows an operational panel with task runs, screenshots and alerts. It illustrates how operators inspect system activity and investigate failures. Explore Adslyfy.

For the implementation decisions, read how I structure a data pipeline into a CRM and, when scoping the work, how to compare a custom software quote.

Tell me which handoff is breaking

Send me the tools involved, what your team copies or corrects manually and one example of the record that should arrive. I can review the constraints and propose a useful first scope.

Discuss your integration

04 / Fractional CTO & infrastructure

Fractional CTO services: technical direction that reaches production.

Technical direction with hands-on execution: architecture, product decisions, delivery and infrastructure.

I review what exists, prioritize the risks and work with the team on deployments, monitoring, backups and technical decisions.

The outputA practical roadmap, accountable decisions and production readiness.

I work directly with founders and business teams as an independent CTO. I connect product priorities with architecture and implementation, then help the team turn those decisions into working software.

A useful starting point

Your agency is delivering code, but nobody can explain the technical risks. A launch is blocked by architecture decisions. Or your team needs a clear order for infrastructure work. These are problems I can review with you. If the direction is already clear and you only need development capacity, we should scope a software project instead.

What we agree to deliver

Before work starts, we define the decision to unblock, the systems to review and the evidence needed to accept the work. Depending on the scope, the deliverables can include:

  • A map of the current system, its dependencies and risks, linked to the business milestone.
  • A prioritized roadmap with owners, assumptions and acceptance criteria.
  • Written architecture decisions: options, tradeoffs and what to postpone.
  • A production checklist covering deployment, monitoring, backups and the handover to your team.

How I work with your team or agency

We agree which decisions I own, who implements each change and how progress is reviewed. I can review architecture, code and infrastructure, and take on implementation within the agreed scope. Source code, documentation and operational access stay under your company’s control. Ongoing incident response needs its own agreed coverage.

How a fractional CTO engagement is priced

I scope the work around the number of systems, the condition of the product, team coordination, urgency and implementation required. A focused review and recurring technical leadership need different commitments. We define deliverables, availability, review points and any follow-on maintenance before agreeing a proposal.

Engineering you can inspect

Adslyfy connects campaigns, workers, alerts and screenshots so an operator can inspect what happened. The case explains how those components support monitoring and troubleshooting. Explore the Adslyfy case.

Still comparing the options? Read when to hire a fractional CTO and the CTO as a Service guide for startups.

Bring the decision that is blocking you

Tell me what the product does, who builds it, which decision is stuck and what deadline matters. I will review whether I can help and what a useful first scope would be.

Discuss your technical roadmap

Specialist engineering, when the project needs it.

DevOps, mobile device orchestration, Android operations, proxy infrastructure, scraping, AI agents and MCP integrations. Technical capabilities chosen to support the business workflow.

03 / Working together

From “we need to” to “it works”.

  1. Understand

    We look at the business, the current process and what a useful result would look like.

  2. Decide

    I turn the problem into a plan: scope, trade-offs, priorities and a first deliverable.

  3. Build

    Working software, regular reviews and decisions you can follow. The product stays close to its users.

  4. Operate

    Deployment, documentation and visibility into the system. We agree what maintenance comes next.

Your next move

Tell me what needs to work better.

A product idea, a manual process or a system you have outgrown. Start with the problem; we can figure out the technology.

Let’s look at your project