Workflow discovery and pilot scoping
Map one operational workflow, isolate decision points, and define the first AI-assisted path worth piloting.
AI Consulting
AI consulting that ships working workflows
We help teams move from AI interest to implemented workflows: scoped pilots, developer-led automation patterns, governance, and practical team enablement.
Why buyers get stuck
Training alone does not change workflows. Tools alone do not create adoption.
Most AI initiatives stall between a promising demo and the actual operating model. We focus the work on users, artifacts, systems, review gates, and measurable pilot signals.
Service spectrum
Consulting across discovery, build, rollout, and governance.
Developer-led AI implementation
Turn prompts, APIs, retrieval patterns, and review loops into working technical processes your team can inspect.
Application builder advisory
Use AIErudit blueprint patterns to shape product requirements, architecture, prompt packs, and delivery artifacts.
Training inside the rollout
Pair implementation with team enablement so BA, PM, engineering, and operations roles know how to use the workflow.
Governance and human review
Define quality gates, escalation paths, approval rules, and practical controls before sensitive work moves forward.
Pilot metrics and adoption signals
Choose measurable pilot KPIs such as cycle time, review burden, rework, adoption, and decision latency.
Implementation method
01
Choose one workflow
We select a workflow with visible pain, available owners, and reviewable artifacts.
02
Design the human-AI loop
We define inputs, outputs, review points, system boundaries, and failure handling.
03
Ship a pilot scorecard
We measure the pilot against practical adoption and delivery metrics before scaling.
Pilot metrics
We define proof before implementation starts.
The scorecard is designed during discovery. It can measure cycle time, review load, adoption, rework, escalation rate, or quality acceptance, depending on the workflow.
Cycle time
Baseline, pilot target, and owner agreed before rollout.
Review burden
Baseline, pilot target, and owner agreed before rollout.
Adoption signal
Baseline, pilot target, and owner agreed before rollout.
Rework trend
Baseline, pilot target, and owner agreed before rollout.
Team expertise
Developers and product builders who already use AI across technical delivery.
Vitali Bibikov
Founder and implementation lead
AIErudit
Builds AIErudit product systems and applies AI to requirements, delivery workflows, and developer productivity.
LinkedInIvan Sobolevskiy
Engineering and AI workflow advisor
Supports technical analysis, architecture review, and practical AI adoption patterns for delivery teams.
Anastasia Haiduk
Product and learning systems advisor
Shapes product-facing enablement, training flows, and stakeholder-ready adoption artifacts.
Engagement shapes
Custom scoped, estimated on the discovery call.
Custom scoped
Workflow Diagnostic
A focused discovery pass that turns a messy AI idea into a scoped implementation brief and pilot scorecard.
Best for: teams deciding where to begin
Scope this packageCustom scoped
Implementation Pilot
A custom scoped pilot estimated on the discovery call, with workflow design, prototype support, and handoff artifacts.
Best for: teams ready to ship a first workflow
Scope this packageCustom scoped
Team Enablement
Role-specific workshops, exercises, and adoption rituals tied to your real AI workflow instead of generic training.
Best for: BA, PM, engineering, and operations groups
Scope this packageCustom scoped
Governance Review
A practical review of data handling, human oversight, review checkpoints, and limits before a wider rollout.
Best for: procurement, legal, and technical leaders
Scope this packageBuilder handoff
Start with a generated brief, then attach it only when you choose.
The Website Prompt Builder can help structure the first implementation conversation. The brief is never attached to sales intake unless you click the explicit handoff button.
Procurement and security
Clear review path without unsupported promises.
Data handling
Public forms are for non-sensitive context only; regulated data requires a separate agreement.
Legal entity
Commercial follow-up is handled by the AIErudit operating team.
Security review
Security questionnaires and DPA review can be handled during sales scoping.
Known limits
No public promise of on-prem deployment, custom SSO, or data residency in this sprint.
FAQ
Practical intake questions.
We choose one target workflow, confirm data constraints, identify the users involved, and define the smallest pilot that can prove value without disrupting production work.
Ready to scope the first workflow?
Send a structured request and we will reply with the right discovery path.