Consulting as a standalone output
Diagnosis, solution options, recommendation, risk and a guideline that remains useful regardless of the delivery partner.
External CTO and AI consulting
Gonenych works as an external CTO for a specific AI or digital task: mapping the process, shaping solution options, checking data and risk, selecting a product, delivery partner or architecture and staying involved through acceptance.
Review the taskService model
Consulting is not a development presale. The output belongs to the client and can be implemented by an internal team, a selected vendor or with our guidance.
Diagnosis, solution options, recommendation, risk and a guideline that remains useful regardless of the delivery partner.
Negotiation, scope, vendor selection, contracts, prioritisation, feature review and acceptance.
If code or integration is needed, delivery can involve the client's team, a selected vendor or A-HOV. The task determines the choice.
Capability basis
Experience covers more than AI tools. It includes the full CTO scope: client, contracts, team, architecture, delivery, review and release.
Clients, delivery partners, contracts, project management, review and acceptance.
AI tools, automation, APIs and working scenarios for teams.
A cross-platform application delivered through the App Store and Google Play.
Anonymised cases
The cases show how each solution was shaped, controlled and delivered. Client names and sensitive materials remain private.
External CTO / automotive
2 stores
Client, delivery partners, contracts, architecture, project management, CTO review and publication.
Review the caseCustomer support
90%
15,000+ source conversations, a knowledge base, operator handover and a dedicated control panel.
Review the caseProfessional services
80%+
RAG over verified documents, answer validation, three channels and lawyer escalation.
Review the caseWhen consulting is useful
Examine the actual jobs, lost time and which products should remain.
Compare products, access models, administration, data handling and the real team need.
Map the workflow and decide between a product, API, automation or custom development.
Define permitted data, risk, output verification, ownership and escalation.
What we compare
The choice depends on data, task frequency, control, integrations and the cost of error. Tool popularity is not a decision criterion.
For a common task, permitted data and a team that needs a fast start.
When several systems need to run a repeated workflow without manual copying.
When the business needs custom logic, control, integrations or scale.
When data and environment requirements rule out an external service.
Consulting output
What is worth solving with AI and what should remain untouched.
Tool, working mode, constraints and alternatives.
Permitted data, output verification, access and ownership.
Independent rollout, training, automation or custom development.
Public case standard
Record the task, manual steps, time, volume and cost of error before any change.
Show the selected approach, alternatives, constraints and security gate.
Include the workflow, operating rules, prototype or working integration.
Compare the same measures after launch without changing the measurement method.
Name the client or clearly label an anonymous case and its verification limits.
How work continues
Gonenych
Gonenych leads diagnosis, decision-making, solution selection and implementation control. This is the primary engagement.
Training
For cases where a tool must be introduced systematically across a team.
A-HOV
When the task needs code, a product, data work or complex automation, a separate technical scope is prepared.
ahov.devFirst step
Complete the short form. Within 24 hours the team will review the context and tell you whether we can help and where it makes sense to start.