01
Solution

Enterprise AI Automation

Reduce manual work. Cut costs.
Scale faster with secure AI automation.

We design and implement enterprise-grade AI automation for marketing, sales, and operations helping large organisations save time, reduce costs, and turn data into scalable systems.

From strategy and architecture to on-prem or hybrid deployment, we build AI systems that work inside your organisation, not generic tools.

What you get:

  • Automated sales & marketing workflows

  • Faster execution with fewer people

  • Lower operational costs

  • Full control over data & security

  • ROI typically within 2-4 months

02
Audience

Who this is for

This solution is built for enterprise and innovation teams that:

  • operate in complex or regulated environments
  • want to automate manual sales, marketing, or operational work
  • cannot rely on SaaS-only or black-box AI tools
  • need on-prem or hybrid AI deployments
  • require full data ownership, auditability, and compliance
  • expect measurable business impact, not experiments
Typical stakeholders:
Management board
Digital transformation & innovation
Sales operations
Marketing operations
IT, data & security teams
Compliance & legal
03
Automation

What we automate?

We don’t sell software licenses. We design and implement AI automation systems that replace repetitive manual work and scale across your organisation.

Operations & compliance automation

  • Automated reporting & analytics (with anonymisation)
  • Compliance checks & risk scoring
  • Legal& document workflows
  • Data governance built into workflows

Result: operational efficiency without increasing headcount.

Sales automation

  • Lead intake → CRM
  • AI lead qualification & routing
  • Call recording, summaries & next steps
  • Lead reactivation & segmentation
  • Data-driven pipeline management

Result: faster sales cycles, less manual work, higher conversion.

Marketing

AI SEO & LEO

AI content pipelines

AI prospecting reducing manual work by up to 60%

Result: more demand with fewer resources.
04
Use Cases

Example Enterprise
use cases

Proven AI systems already used in production to reduce manual work and accelerate revenue-driving processes.
AI Sales Qualification Agent
85% of leads qualified automatically, 300+ hours saved monthly
challenge

Manual lead qualification (11-19 min per lead) blocked sales capacity, caused
delays, errors, and made scaling impossible.

our approach
  • Built an AI Agent to analyse requests, verify data, and qualify leads
    automatically
  • Integrated with CRM to move leads through stages and document decisions.
  • Ran MVP, refined rules, deployed full automation with dashboard monitoring
result
  • 85% of leads qualified automatically
  • 300+ hours saved monthly
  • 190× faster processing (53h to 17 min per stage)
  • 1-2 seconds per lead instead of 11-19 minutes
  • 5× more leads handled per rep
Full GTM system for new product launches
Used directly in sales, PR, and investor conversations
Challenge

Meest Pay needed complete go-to-market readiness for a new fintech product: positioning, messaging, funnel design, and activation strategy, all before new product release.

our approach
  • Full GTM strategy (ICP, value prop, narrative, acquisition channels)
  • Product story & messaging architecture for sales, website, and PR
  • Structured launch plan with campaigns, content, and partner plays
  • Funnel workflow: lead gen to activation to retention
  • LLM-SEO foundation for post-launch visibility
results
  • Ready-to-deploy product story & GTM engine
  • Clear ICP & conversion funnel aligned with business goals
  • Strong positioning that supports Meest Pay’s regional expansion
  • Used directly in sales, PR, and investor conversations
05
Process

How we work

We follow a proven, enterprise-grade delivery model.
You always know what is being built, why, and how it delivers value.
Research & qualification
customer
Entry call
hypothesis
Discovery & workshops
founder

Architecture & solution design

strategy

Implementation

engagement

Monitoring, optimisation & scaling

06
Architecture

Deployment options

Security is not an add-on. It’s the baseline.

On-prem

  • n8n (self-hosted)
  • PostgreSQL, Redis, vector databases
  • vLLM + Qwen / Llama
  • Microsoft Presidio for PII & anonymisation

Best for: regulated industries, full data isolation.

Hybrid

  • On-prem data + Azure OpenAI / Gemini
  • Private connectivity
    (ExpressRoute / Private Link)
  • Full audit & governance layer

Best for: enterprise scalability with strict security.

07
Security

Security & compliance baseline

Security is not an add-on. It’s the baseline.

Identity & Access

  • Single Sign-On (SSO)
  • Multi-Factor Authentication (MFA)
  • Role-based & attribute-based access (RBAC / ABAC)
  • Data Protection

  • Zero-trust architecture
  • Network segmentation
  • Encryption at rest and in transit
  • No data leakage to public models
  • Audit & Governance

  • Full workflow audit logs
  • Model-call traceability
  • Data access & activity monitoring
  • Compliance-ready reporting
  • Trusted by startups, scaleups, and enterprises

    07
    Security

    Security & compliance baseline

    Security is not an add-on. It’s the baseline.

    systems

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    hypothesis

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    founder

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    subscription

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    08
    Pricing

    Engagement & Pricing

    Flexible commercial models aligned with enterprise scope, complexity, and business outcomes.

    Enterprise Plan

    • Project-based enterprise engagements

    • ROI typically within 2–4 months

    • Long-term partnership preferred

    • Works alongside internal teams & vendors