AI Consulting - Strategy That Scales, Agents That Deliver
You don’t need more AI headlines—you need results you can measure.
Rellan Research designs AI strategies and guiding principles, then builds production‑ready AI agents that plug into your stack and deliver value fast—with governance and risk controls from day one.
Who we help: CEOs, CFOs, and IT leaders who want practical AI—tied to KPIs, compliant by design, and integrated with core systems (e.g., SAP, Salesforce, Azure/AWS, Power BI).
What You’ll Achieve
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A clear AI strategy & principles that fit your operating model.
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Working AI agents in weeks, not quarters—integrated with your tools.
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Governance & risk controls (privacy, auditability, human‑in‑the‑loop).
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Data foundations to feed AI with trusted context.
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Executive visibility with KPIs and value tracking.
Engagement Models (predictable investment)
ASSESS - 2 weeks
Readiness baseline (data, risk, process), use‑case portfolio, and AI Guiding Principles draft.
PILOT - 4–6 weeks
A production‑minded prototype (e.g., a finance, customer, or operations agent) wired to real systems, with metrics and safeguards.
DEPLOY - 8–12 weeks
Hardening, security & privacy controls, integration, monitoring/observability, enablement, and a scale‑out roadmap.
Example Use Cases (fast wins)
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Finance Ops Agent: invoice coding & variance triage → fewer manual touches.
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Customer Service Agent: resolves tier‑1/2 with hand‑offs to people → lower handle times.
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Sales Enablement: proposal drafting with pricing guardrails → faster cycle time.
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Field Ops: SOP assistants with context‑aware checklists → fewer errors.
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Knowledge Copilot: policy/contract retrieval with citations → better compliance.
Suggested CTA
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Primary: Design your 6‑week agent pilot
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Secondary: Download the AI Governance Guiding Principles (1‑pager)
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Cross‑link: Explore Virtual CIO (for portfolio, sourcing & executive governance)
What We Do (scope of AI Consulting)
AI Strategy & Guiding Principles
A practical strategy that states where to play (highest‑value use cases), how to win (process, data, tech), and how to govern (policy, roles, risk). Deliverables: 1‑page strategy, principles, and a 90‑day roadmap.
Inspired by enterprise best practices that emphasize aligning to outcomes and organizational readiness.
AI Agents & Automation (Design • Build • Operate)
We build agentic solutions through alliances like ProSdX that plan tasks, take actions, and adapt—embedded in workflows (Teams, web, CRM/ERP, email). Typical patterns: retrieval‑augmented agents, approval/ops agents, finance assistants, sales enablement agents, knowledge copilots, and integration agents.
Modern “AI agents” go beyond chat—they perceive, decide, and act in connected systems.
We also implement enterprise agents on familiar platforms and frameworks (e.g., Copilot Studio) when it makes sense for speed and governance.
Data Foundation & Integration
Connectors to your systems, retrieval layers (RAG), vector stores, security filters, lineage, and quality checks—so agents use trusted context.
AI Governance & Risk
Policies, access controls, evaluation and monitoring, human‑in‑the‑loop, and model change management; support for privacy, fairness, accountability, and security.
Pilots & Scale‑Up
MVP in 4–6 weeks, then hardening, SSO, logging, observability, performance tuning, and DR/BCP alignment—ready for enterprise traffic.
Analytics & Decisioning (Power BI)
KPIs that show impact (time saved, error rates, cycle times, conversion/retention)—so AI value is visible and manageable.