Bottomline Consulting Team — Agentic AI, BI, automation & enterprise architecture

Agentic AI · BI · Automation

Activate practical AI use cases with clarity and confidence.

From agentic BI and reporting to process automation — we help you design MCP-connected, RAG-grounded solutions with enterprise-grade data management.

AgenticAI workflows
MCPTool integration
RAGGrounded answers

Agentic AI use cases

High-value patterns we activate

Practical agentic workflows — not demos. Each use case is designed with governance, data readiness, and measurable business outcomes.

Business intelligence

Agentic BI & reporting

AI agents that query governed data, generate narrative insights, and produce executive-ready reports on demand — with full audit trails.

  • Natural-language questions over curated semantic models
  • Automated variance analysis and commentary drafts
  • Scheduled board packs with human-in-the-loop approval
  • Drill-down from KPI to underlying transactions
Ask Retrieve Analyse Report
Process automation

Business process automation

Agentic workflows that orchestrate approvals, document handling, and system updates across ERP, CRM, and collaboration tools.

  • Invoice processing and exception routing
  • Onboarding and compliance checklist automation
  • Case management with intelligent triage
  • Cross-system handoffs via MCP-connected tools
Trigger Agent MCP act Complete
Knowledge & search

Enterprise knowledge assistants

RAG-grounded copilots for policy, product, and operational knowledge — with source citations and access controls.

  • Policy and procedure Q&A for frontline teams
  • Sales enablement with product catalogue grounding
  • Engineering runbooks and incident playbooks
Query Embed RAG Answer
Decision support

Executive & operational decision support

Agents that synthesise signals from multiple systems and present options with trade-offs — never black-box recommendations.

  • Scenario modelling with explainable assumptions
  • Risk and compliance pre-checks before action
  • Meeting prep briefs from CRM, email, and docs
Signals Synthesise Options

Technical architecture

MCP, RAG & data management flows

How enterprise AI use cases connect — animated reference architectures you can discuss with technical and business stakeholders.

User / App Chat · Workflow AI Agent Reasoning · Plan Tool selection MCP Layer Protocol bridge Tool registry Auth · Schema ERP / Finance CRM Data warehouse Ticketing · ITSM Custom APIs

Model Context Protocol (MCP) lets agents call enterprise tools safely — with schema validation, auth, and audit logging at the bridge layer.

Agent orchestration MCP protocol Enterprise systems
Documents Policies Reports Ingest & chunk Parse · Clean Metadata tag PII scan Embed Vector model Vector store Hybrid search ACL filters Versioning RAG query Retrieve + rank LLM Grounded response User question

Retrieval-augmented generation grounds answers in your documents — with governance at ingest, embedding, and retrieval stages.

Vector pipeline Embedding Grounded generation
SOURCES ERP CRM Lake / DW Files Integration ETL / ELT CDC streams API feeds Data governance Catalog & lineage Quality rules Classification Access policies Retention Semantic layer Metrics · Models BI-ready AI consumption layer RAG knowledge base Agent data APIs MCP tool endpoints Monitoring · Audit

AI use cases succeed when data is governed before it reaches agents — catalogued, quality-checked, and exposed through controlled APIs and MCP tools.

Integration Governance AI layer

What we do

From discovery to production-ready pilots

We design agentic architectures with your teams — MCP tool design, RAG pipelines, and data governance included from day one.

AI use case discovery

Workshops mapping agentic BI, automation, and knowledge use cases to business outcomes.

Architecture & governance

MCP integration patterns, RAG design, and data management for regulated environments.

Pilot activation

Scoped pilots with success metrics, human-in-the-loop controls, and scale pathways.

Our framework

Discover. Prioritise. Activate.

1

Discover

Map agentic opportunities, data flows, and MCP/RAG readiness.

2

Prioritise

Score by value, risk, and technical feasibility.

3

Activate

Launch pilots with architecture diagrams and governance baked in.

Get in touch

Discuss your agentic AI roadmap

BI automation, MCP integration, RAG, or full use case activation — tell us where you are.

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