Services
AI consulting that ends in production
AviKaiDo helps organizations assess where AI creates real leverage, design the architecture, and ship agentic workflows, conversational systems, and custom AI products on your data — with measurable ROI and artifacts your team owns.
AI implementation consulting
AI implementation consulting at AviKaiDo is the assessment, build-vs-buy decision, reference architecture, and sequenced roadmap that come before a production build — done by the same team that can deliver it. Deliverables include an AI-readiness scorecard, vendor and model recommendations, and a 12-month automation sequence tied to cost, revenue, or time saved.
- Workflow mapping and human baseline (accuracy, throughput, cost, turnaround)
- Build vs buy vs managed-team recommendation with trade-offs documented
- Model family, retrieval approach (RAG / hybrid / agentic), and deployment surface
- Governance, reviewer model, eval plan, and fixed-price statement of work for Build
Agentic workflow & business systems automation
Agentic automation at AviKaiDo means production agents that execute real multi-step work across your tools — routing, research, reporting, support triage, ops handoffs — with guardrails, human approval where it matters, and monitoring against the KPIs we baselined.
- Agents connected to Slack, CRM, ticketing, knowledge bases, and internal APIs
- Thin-slice production launch on real traffic before expanding scope
- Prompt/version control, eval suites, and observability (Datadog, Splunk, and peers)
- Operator training so your team can extend the system after handoff
Custom AI product architecture & builds
Custom AI product work covers internal platforms and customer-facing assistants: LLM selection and routing, RAG over proprietary corpora, Graph/vector retrieval, content generation and summarization, and the training/deployment standards needed to scale feature delivery without breaking SLAs.
- Enterprise chat and knowledge products (for example, oncology support assistants)
- Transcript and intent intelligence over large historic corpora
- North-star vision, roadmaps, vendor partnerships, and AI design standards
- Reliability engineering against SLAs with modern APM and logging stacks
Conversational AI & customer experience
Conversational AI & CX services design and ship chat, voice, and omnichannel assistants that reduce call volume, raise CSAT, and standardize design across platforms such as VoiceFlow, Dialogflow, Nuance Mix, Watson, Genesys, and cloud contact-center stacks.
- Omnichannel chat and voice assistants for web, mobile, and contact centers
- NLU/NLP design, LLM-assisted intent mining, and conversation analytics
- UX research, A/B testing, and drop-off reduction for agent and traveler experiences
- Security, audit, and remediation patterns for regulated industries
Frequently asked questions
How long does a typical engagement take?
Discovery usually runs two to three weeks. A focused production build typically lands in four to ten weeks depending on integrations, data readiness, and governance requirements. Managed run support is optional and month-to-month.
Do you only recommend tools, or do you build?
AviKaiDo ships. Strategy and implementation stay with the same accountable builder so roadmaps do not die in a handoff. You own the code, prompts, configs, and runbooks.
Which models and clouds do you use?
We select against your cost, latency, privacy, and compliance constraints — OpenAI, Claude, Llama, Gemini, SageMaker, Vertex, Bedrock, and on-prem options when required. Model choice follows the use case, not a preferred vendor list.
Can you work inside regulated healthcare or finance environments?
Yes. Prior production work includes oncology support chat at AstraZeneca, pharmacy and insurance CX at CVS/Aetna, bank-scale assistants at Wells Fargo, and Epic EHR–adjacent healthcare workflows. Security, auditability, and human review are designed in from day one.
Ready to put AI into production?
Bring the workflow that is costing the most time or money. We will tell you honestly whether AI is the right lever — and what a first shippable slice looks like.