Office 365 is a simple and cost-effective way to make a powerful range of cloud Office services plus access to regular new features in desktop Office 2016 instantly available to the end user, directly from the cloud. Patches, updates, and maintenance happen in the background, so you never have to worry about performance issues with your software.
Connect from anywhere
Business and enterprise users can securely connect from anywhere to an entire suite of Office applications, Microsoft Exchange email, calendars and contacts online, Microsoft SharePoint and Skype for Business (incorporating Lync and online conferencing).
You and your staff can work in the office, at home, or anywhere!
As a subscription based service, Office 365 can boost productivity and save money whatever the size of your business. Your business pays per user, per month, this can often average out to a lower cost than purchasing individual software for each user. If you’d like to get away from the endless purchase-upgrade-replace software scenario, Office 365 could work for you.
How Can My Business Move to Office 365?
Total Group make moving to Office 365 Easy, so you can just focus on your business. Our expert team provide specialist guidance and advice, in addition to deployment and migration services to organisations that wish to adopt Office 365 Business.
Frequently Asked AI Questions
These FAQs provide a clear, no-fluff view of how Total Group delivers AI – with security, compliance, and scalability built in from day one.
- Local = private by design. Your data never leaves your network, reducing risk and improving compliance.
- Lower ongoing cost for heavy/continuous workloads—no per‑token or per‑API fees.
- Lower latency and more consistent performance, especially for multimodal tasks.
- Full control over models, fine‑tuning, extensions, and infrastructure.
- Cloud still makes sense for some workloads.
- Your data is not mined for profit,
- Your not building your AI house on someone else’s land which would make you incredibly sticky to using that provider.
- You can end up with 100s of disconnected agents, bots and subscriptions spread across providers, a security and personalisation nightmare.
- For 7B–13B models with solid responsiveness: 24–48 GB VRAM.
- For 30B–70B models or larger context windows: 48–96+ GB VRAM.
- CPU: 8–16 cores (or more) helps with tokenization and multimodal pipelines.
- RAM: 64–128 GB recommended for larger context and RAG workflows.
- Storage: Fast NVMe (1–2 TB+) for models, embeddings, and datasets.
- We size your desktop or cluster to your target models, context length, and concurrency.
- We pre load with a full stack Docker environment so you can start using immediately.
- Yes. Our builds support multimodal pipelines for OCR, image understanding, TTS/STT, and video frame analysis.
- We configure optimized runtimes, model acceleration, and codecs so you can run text-only or multimodal agents efficiently.
- If you need camera/mic capture or GPU video decoding, we pre‑test and enable that stack.
- So whether your a radiography department uploading Xray or an accountancy firm uploading invoices we will help you test multiple models to find the best.
- Security and compliance is our super power, clean secure data has huge functional benefits as well.
- By default, models, prompts, and data stay on your private network.
- We harden the OS, enable advanced MFA, configure SIEM/SOC/ATP (if on Microsoft 365), and set least‑privilege access.
- Secrets are managed via secure vaults; we also support encrypted at‑rest and in‑transit traffic.
- Optional CREST‑approved penetration testing is available.
- You can run hundreds of models anything that will fit on the VRAM specified. We can help you scope and Our “Ready → Steady → Go” packages covers strategy, policies, data prep (RAG), and workflow automation. Your AI working out the box.
- We build and glue real use cases—chatbots, virtual assistants, knowledge search, email triage, sales ops, and more.
- We offer ongoing optimisation, monitoring, and support so performance and accuracy improve over time.
- We are never beaten on price whether you want to use public models or local models we understand the least cost routes to implement We tell you the secrets AI companies don’t want you to know to keep costs down.
- Typical one‑off setup from £2,577 + from £200/month for a secure, compliant foundation.
- Development/automation cycles from £4,125 per cycle for your first few bots and agents you build but Vibe coding is becoming very capable.
- The cost of local compute and coding is plummeting, invested now to leverage this quickly.
- Scaling: from £1,500 one‑off + from £425/month per device; we can add local GPUs, clusters, or hosted GPUs as you grow.
- We’ll tailor a quote based on your models, concurrency, and compliance needs.
- Absolutely. We have the most flexible approach to change and scale:
- More powerful single workstations or multi‑GPU desktops.
- Small on‑prem clusters for 70B+ parameter models or higher throughput.
- Private hosted GPUs (e.g., Azure ND A100/H100 series) with containerized deployments.
- Hybrid routing: keep private data local while burst‑scaling public workloads.
- We handle orchestration, load balancing, backups, and monitoring across devices.
- We can migrate on premise data and workflows to the cloud and back with ease.
- Keep control of your knowledge: With local RAG (Retrieval‑Augmented Generation), your documents, embeddings, and context stay on your own infrastructure—improving privacy, compliance, and auditability.
- Better accuracy with less fine‑tuning: RAG injects the right context at query time, so you get grounded, source‑linked answers without expensive end‑to‑end model fine‑tuning.
- Portable data, flexible models: Because your vector databases and embeddings are yours, you can point multiple local models at the same knowledge base and swap models over time without “re‑training your company” into a single vendor’s stack.
- Avoid vendor lock‑in: If you build directly inside a public model/provider, your “training” often isn’t portable. With local RAG, your data, schema, and pipelines are transferable—on‑prem, hosted GPUs, or hybrid.
- Lower costs for updates: Updating content is as simple as re‑ingesting and re‑embedding new documents—no costly model retrains required.
- Traceability and governance: You can log sources cited, control retention, and enforce access policies at the document and field level.
For general questions, visit our Contact FAQ.
