Solutions
Solutions for real business outcomes
Practical AI deployments with clear token and compute needs, PoC options, and a path to production.
Highlighted scenarios
AI Customer Service
- Customer pain
- High staffing cost, multilingual coverage gaps, inconsistent quality.
- AI services
- LLM-based assistants, handoff workflows, knowledge-grounded replies.
- Token / compute needs
- Moderate to high token usage; low-latency inference; audit trails.
- PoC ideas
- Single channel (web chat or email), limited FAQ scope, human review queue.
AI Content Generation
- Customer pain
- Slow campaign iteration; inconsistent tone across markets.
- AI services
- Marketing copy, product descriptions, short-form scripts, creative prompts.
- Token / compute needs
- Burst traffic; guardrails; brand style controls.
- PoC ideas
- One product line or one locale; template-based generation with editor review.
AI Agent Workflow
- Customer pain
- Manual operations across CRM, spreadsheets, and ticketing tools.
- AI services
- Tool-calling agents, approvals, logging, and integration patterns.
- Token / compute needs
- Stable APIs; observability; least-privilege access.
- PoC ideas
- One workflow (e.g., lead triage or ticket summarization) with rollback.
Game / Social App AI
- Customer pain
- NPC and companion dialogue at scale; moderation and safety; content velocity for live ops.
- AI services
- Dialogue systems, UGC assist, localized player support drafts, live-ops content tooling.
- Token / compute needs
- Cost controls for spiky traffic; regional latency; content policy tooling.
- PoC ideas
- Limited questline or companion mode with capped concurrency and safety filters.
E-commerce AI Tools
- Customer pain
- SKU scale, multilingual listings, repetitive customer questions.
- AI services
- Listing generation, translation assist, review insights, support macros.
- Token / compute needs
- Catalog-grounded generation; PII minimization; returns/refund policy alignment.
- PoC ideas
- One storefront category; human approval before publish.
More scenarios
Enterprise Knowledge Assistant
- Customer pain
- Internal docs scattered; onboarding slow; experts overloaded.
- PoC ideas
- One department handbook; fixed corpus refresh cadence.
Education AI
- Customer pain
- Content variability; tutor scalability; language practice needs.
- PoC ideas
- Single course module with teacher review.
Manufacturing AI
- Customer pain
- SOP drift; training load; after-sales knowledge fragmentation.
- PoC ideas
- One plant line documentation set.
AI Startup Infrastructure
- Customer pain
- Token bill volatility; model selection overhead; fragile integrations.
- PoC ideas
- Staging environment load test + cost model for one product surface.