AI, automation & security for startups and SMEs

Intelligent automation across every service area

VNC AI Solutions helps businesses work faster with intelligent AI automation and security-first engineering.

Every engagement is built around AI and automation—agents, workflows, MCP integrations, triage bots and pipeline gates—so operations and security improve together. Fixed-scope delivery for startups and SMEs, not generic chatbots stapled onto a website.

Built on 20+ years of technical experience across software, infrastructure and security.

Illustration of an AI agent linking CRM, email and ticketing for automated business workflows.

AI & automation

AI Agents & Business Automation

The problem

Repetitive work piles up: triaging enquiries, updating spreadsheets, chasing approvals, or copying data between tools. Teams want AI-driven automation but do not have time to experiment with half-finished demos.

What we deliver

Fixed-scope AI agents and automated workflows that connect to the systems you already use—CRM, email, calendars, ticketing, ecommerce, or internal APIs—with clear guardrails, human review steps, scheduled runs and audit-friendly logs.

Business benefits

Faster hand-offs, fewer manual errors, and staff time redirected to decisions that need a person. You get something you can run every day, not a prototype that breaks when context shifts.

Typical deliverables

  • Scoped automation design and success criteria
  • One or more AI workflow automations or agent tasks with approvals
  • Integration with existing SaaS or APIs
  • Runbook, monitoring hooks and handover session

Technologies

Python or TypeScript services, REST and webhooks, LLM APIs with structured outputs, workflow schedulers, vector search where needed, and your existing SaaS stack.

Do not email passwords or API keys. We will agree secure channels for credentials during onboarding.

Discuss Your Project
Illustration of MCP connectors linking APIs, databases and LLMs for production AI features.

AI & automation

AI Engineering & MCP Integrations

The problem

You want AI assistants or internal tools that can automate actions on live data—orders, documents, tickets, inventory—but wiring models safely to your stack is slow and easy to get wrong.

What we deliver

Production-minded AI features and Model Context Protocol (MCP) connectors so assistants and automated jobs can call your APIs and data stores with least privilege, rate limits and observability.

Business benefits

Faster delivery of AI features your team can trust, reusable integration layers, and less glue code every time you add a new model or tool.

Typical deliverables

  • Integration architecture and threat/model review notes
  • MCP servers or tool adapters for agreed systems
  • Prompting and evaluation harness for critical paths
  • Deployment notes and environment separation guidance

Technologies

MCP, OpenAI-compatible and other LLM APIs, TypeScript or Python backends, OAuth and API keys in secure stores, container or serverless deploy targets you already use.

Do not email passwords or API keys. We will agree secure channels for credentials during onboarding.

Discuss Your Project
Illustration of AI-assisted cloud scanning and automated security posture review.

AI & automation

Cloud Security & Cybersecurity

The problem

Cloud accounts grow faster than policy: wide IAM permissions, exposed services, missing backups, or SaaS sprawl. Manual reviews do not keep pace, and nobody has time to chase every misconfiguration by hand.

What we deliver

Practical assessments plus automated evidence collection and AI-assisted posture review—summarising misconfigurations, prioritising fixes, and optional remediation workflows with human approval for high-risk changes. Sized for SMEs: identity, exposure, logging, backup and incident readiness.

Business benefits

Clear prioritised fixes with less manual spreadsheet work, faster answers for customer and insurer security questionnaires, and repeatable checks instead of one-off audits.

Typical deliverables

  • Scope workshop and architecture walkthrough
  • Automated cloud or SaaS evidence snapshot (where APIs allow)
  • Findings report with AI-assisted executive summary and severity bands
  • Remediation checklist and optional implementation or automation sprints
  • Baseline hardening and MFA guidance for email and admin access

Technologies

AWS, Azure, Google Cloud, Microsoft 365 or Google Workspace, Cloudflare, CSPM and audit APIs, LLM-assisted analysis of findings, playbook or webhook automation, CIS-style benchmarks.

Do not email passwords or API keys. We will agree secure channels for credentials during onboarding.

Discuss Your Project
Illustration of AI triage sorting security alerts into escalate, monitor and benign queues.

AI & automation

SIEM, SOC & Detection Engineering

The problem

Logs exist but nobody watches them. Alert queues grow faster than a small team can copy indicators between tools, close duplicate tickets, and decide what is noise versus what needs a human. Detections may also be missing for your environment, or you need better coverage without hiring a full SOC overnight.

What we deliver

Detection engineering plus AI-assisted triage for agreed alert types: bots or agents that enrich each event (identity, endpoint, cloud audit, threat-intel lookups), correlate related activity, and produce a short explainable summary with a suggested disposition—benign, monitor, or escalate. High-impact actions stay behind human approval gates; auto-close only where you explicitly define safe patterns (for example known false positives). We design this as fixed-scope engineering on top of your SIEM or log stack, not a proprietary black-box SOC product.

Business benefits

Less Tier-1 grind on repetitive alerts, faster time-to-verdict with evidence attached to the ticket, fewer duplicate investigations, and tuned detections that match how your estate actually behaves. Your team spends judgment on cases that need a person, with an audit trail of what the bot checked and why.

Typical deliverables

  • Data source inventory and ingestion plan
  • Core detection pack and tuning notes
  • Scoped AI triage bot or agent for selected alert types (enrichment, correlation, verdict draft)
  • Human review queue, escalation rules and incident triage playbook
  • Evaluation pass on a sample of historical alerts (including known false positives)
  • Periodic review session for rule and triage drift

Technologies

Elastic Stack, Splunk, Microsoft Sentinel, Wazuh, osquery, cloud audit logs, Sigma-style rules, SOAR or webhook automation, ticketing (Jira, ServiceNow, email), LLM APIs with tool use, threat-intel and identity/EDR APIs where you already have them.

Do not email passwords or API keys. We will agree secure channels for credentials during onboarding.

Discuss Your Project
Illustration of an automated CI/CD pipeline with AI-assisted security scanning before release.

AI & automation

DevSecOps & Security Automation

The problem

Security checks lag behind releases. Scan output is noisy, secrets slip into repos, and developers drown in alerts nobody has time to triage manually.

What we deliver

Automated pipeline gates plus AI-assisted triage of SAST, SCA and secret-scan findings—prioritising real risk, suggesting fixes, and opening draft changes where you want them. Policy-as-code guardrails for Terraform or containers, with human approval on anything that touches production.

Business benefits

Faster, safer releases with less alert fatigue; security work rides along with development instead of blocking the last mile.

Typical deliverables

  • CI/CD security baseline and automated gate configuration
  • Secret and dependency scanning wired into every build
  • AI summarisation layer for scan noise (group, dedupe, rank)
  • Policy-as-code samples and optional auto-fix drafts for low-risk items
  • Developer-friendly fix guidance in pull requests or tickets

Technologies

GitHub Actions, GitLab CI, Azure DevOps, Dependabot or Renovate, SAST and SCA tools, LLM-assisted fix suggestions, OPA or similar policy engines, Docker and Kubernetes hooks as needed.

Do not email passwords or API keys. We will agree secure channels for credentials during onboarding.

Discuss Your Project
Illustration of an AI adoption roadmap from discovery through pilot automation to scale.

AI & automation

AI Adoption Consulting for Small Businesses

The problem

Leadership hears about AI everywhere but cannot tell which use cases are worth automating, what data is safe to use, or how to start without buying shelfware that never ships.

What we deliver

Structured discovery workshops, automation-first use-case shortlists, vendor-neutral options, privacy and security guardrails, and a phased roadmap where every phase ends in a concrete build or workflow—not slideware.

Business benefits

Clarity on where AI saves time versus where it is hype; staff policies that enable safe automation; and a path from pilot agent to production job without open-ended consulting.

Typical deliverables

  • Stakeholder interviews and process mapping for automation opportunities
  • Prioritised use-case backlog with effort bands and automation fit
  • Data-handling and acceptable-use guidance
  • Recommended next fixed-scope AI agent or workflow build

Technologies

Your existing SaaS and documents, commercially available LLM services, automation platforms, and standard UK GDPR-aligned privacy practices.

Do not email passwords or API keys. We will agree secure channels for credentials during onboarding.

Discuss Your Project

Fixed-scope projects, clear next steps

Tell us what you are trying to fix. We will reply by email to scope a practical engagement—products, automation or security—without asking you to paste secrets into a web form.