Fragmented stack
Separate chatbots, voice tools, automations and model providers create duplicated cost and inconsistent governance.
Createting designs, integrates and operates agentic AI systems across models, company data, tools and workflows—without locking your business into another isolated AI tool.
Teams test copilots, automations and models, but the systems remain disconnected from processes, permissions, data and measurable outcomes.
Separate chatbots, voice tools, automations and model providers create duplicated cost and inconsistent governance.
AI can generate answers, but cannot safely complete work across CRM, ERP, support, browser and internal systems.
Proofs of concept stall because ownership, deployment, monitoring, security and continuous improvement remain unresolved.
The engagement starts with the business process, not a predetermined model or vendor. Createting maps the highest-value workflows, builds the required agent system and operates the underlying stack.
Explore the governed enterprise AI agent platform →Process analysis, opportunity scoring, feasibility, risk, data access and a prioritized implementation roadmap.
Agents, tools, knowledge, permissions, human approvals, model routing, integrations and measurable success criteria.
Connection to CRM, ERP, support, telephony, databases, browser workflows and internal systems.
Monitoring, governance, model optimization, workflow updates, support and expansion into additional processes.
Respond to leads, qualify opportunities, schedule appointments and support sales teams across channels.
Handle support, research, documentation, data entry, browser work and cross-system coordination.
Detect risk signals, trigger personalized outreach and coordinate the right next action automatically.
Define permissions, approval thresholds, audit trails and human escalation for every agent action.
Identify the process, baseline, systems, constraints and economic upside.
Receive a clear architecture, implementation scope, timeline and success criteria.
Deploy one real workflow with monitoring, safeguards and measurable outcomes.
Optimize the system and expand into adjacent workflows and departments.
Share the process, systems and current bottleneck. Createting will assess where an agentic system can create measurable leverage.
AI STRATEGY · ARCHITECTURE · IMPLEMENTATION
Createting evaluates where AI creates measurable leverage, which models and infrastructure fit the workload, and how agents should connect to existing systems. Consulting defines the business case and architecture. Infrastructure and hosting are implemented separately when they are the right answer.
THE DECISION LAYER
Token consumption grows as context windows, reasoning depth, agent loops and multimodal workloads expand. At the same time, premium API pricing, plan limits and vendor dependencies can turn a successful pilot into an unpredictable operating cost.
But private hosting is not automatically cheaper. The answer depends on utilization, latency, model size, data sensitivity, availability targets and the value of each workflow. Createting models these trade-offs before architecture is locked in.
WHAT CONSULTING DECIDES
Prioritize workflows by revenue impact, cost reduction, risk and implementation difficulty—not by novelty.
Agentic execution, coding, retrieval, voice, browser control, document intelligence or a simpler deterministic workflow.
Frontier APIs, lower-cost APIs, open-weight models, specialist models or a routed combination based on task complexity.
Managed API, dedicated endpoint, private cloud or self-hosted deployment—with the right GPU, observability and failover design.
AI ECONOMICS
A single request can trigger retrieval, planning, tool calls, verification and multiple model passes. Cost must therefore be measured per completed business outcome—not merely per million tokens.
See how private and hybrid infrastructure can reduce long-term AI cost →The right answer is workload-specific. Consulting establishes the break-even model; Infrastructure implements it.
A CONTROLLED PATH TO VALUE
Business process, data, systems, constraints and success metric.
Agent design, model routing, integrations, governance and cost model.
Real workflow, real users, measurable outcome and operational safeguards.
Expand proven systems, optimize economics or reject weak business cases.
WHEN PRIVATE INFRASTRUCTURE IS THE ANSWER
Fine-tuning, dedicated inference, private hosting, model routing and observability are separately scoped Createting Consulting and Infrastructure services—not features that are automatically included with ordinary platform access.
See how business intent, evidence, system tools, autonomy policy and measurable pilot criteria become one implementation architecture.
YOUR NEXT DECISION
The first conversation is designed to identify whether the opportunity deserves a pilot, a different architecture or no AI investment at all.