Simply Ai Solutions designs, deploys, and supports professional AI workers that fit into the tools your business already uses, so your existing team can move faster, stay responsive, and spend more time on work that genuinely needs a human.
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task: "draft reply",
status: "review",
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window: "06:00 → 09:30",
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We deploy into the systems your team already runs on, then choose the right AI and automation layer behind the scenes, whether that means cloud, hybrid, or private infrastructure.
We do not hand you a tool and wish you luck. We design the worker, fit it around the way your team already operates, connect it to the systems they already use, rehearse it against real examples, and stay close while it runs.
A structured walk through your operation. Where the repetitive load sits, who owns it, and what it's costing.
Role, boundaries, tone, approvals, tools. A worker that behaves like a teammate, not a novelty.
Email, CRM, calendar, docs, the ops tools you already run on. Integrated cleanly — cloud, hybrid, or private.
Ongoing tuning, new workflows as the business grows, and a real human to call when something matters.
Start with one useful worker inside the systems you already run, then expand into deeper automation, private AI, training, or full deployment when the return is clear.
A professional AI worker deployed into your existing stack. Inbox triage, admin support, lead follow-up, research, onboarding, and more, without asking your team to adopt a whole new universe.
We handle the full rollout for you. Planning, worker setup, system connections, launch, and early optimisation, all shaped around how your business already works.
A practical review of your operation, where AI can genuinely help, where it cannot, and the clearest place to start without disrupting the way your team already works.
Private environments, local deployment, and on-prem options for privacy-sensitive work. Your data, your hardware, your boundaries.
Role-based AI training for leadership and staff. Safe use, practical productivity, and the habits that stick once we're gone.
Recurring tuning, new workflows as you grow, managed access and usage, and a real engineer on call when something matters.
These are some of the worker roles we deploy most often. Start with one, choose a prebuilt pack, or combine a few around a real business function. Each one fits around the tools your team already uses and stays under clear human control.
Five UK SME sectors where we see the most traction. Pick a tab to see how an AI worker frees up capacity for the people you already have — so repetitive work stops crowding out judgement and client time.
Figures are illustrative pilot outcomes — exact results confirmed on consultation. The goal is capacity uplift, not staff replacement.
Domiciliary and residential care providers spend hours per carer per week on rota coordination, family comms, and compliance paperwork. An AI worker takes the repeatable admin and keeps humans on human work.
Before/after reflects a typical coordinator's week after 4–6 weeks of worker tuning.
Most teams start in the cloud because it is fast and practical. When privacy, volume, or control matter more, we can move the same operating model into a tighter private setup without reinventing the whole thing.
The fastest way to get practical value. Managed providers, our integration layer, human approvals where they matter.
For privacy-sensitive workflows — health, legal, finance, and any data that can't leave the building. Fully private environments, local hardware if needed.
Most real deployments end up hybrid — sensitive tasks run private, everything else runs in the cloud. We design the boundary so each worker knows where it's allowed to think.
The tools exist. Getting them to actually run your business is a different job. Here's what we hear on nearly every first call.
"We've had a free ChatGPT tab open for a year. No one's sure how to make it do our actual work."
"It's the integration. We can't afford to lose a week joining tools that the founder understands and no one else does."
"I'm not putting our client data into something I can't control. That's the whole conversation, for us."
"We don't need another tool. We need someone who stays on the hook when it breaks or needs changing."
We sit on the hook. We do the integration, design the worker around your operation, keep humans in control of anything sensitive, and stay around to tune it as your business changes.
Map my opportunitiesEvery worker we deploy has a clear boundary: what it can touch, what it must ask about, and who has to sign off before anything leaves the building.
Outbound actions route to a named human until you decide otherwise. No surprises at 3am.
Workers see only the systems, folders, and people they need to do their job.
Every action, draft, and decision is logged and reviewable — so you can trace a result back to a prompt.
Cloud, UK-region, or on-prem. Your data lives where your boundary says it does.
A worker that isn't tuned, isn't used, or isn't understood is a waste of money. Every engagement comes with enablement and a named engineer who stays on.
Leadership briefing, role scoping, system walkthrough. Your team meets the worker before it meets the inbox.
Role-specific sessions — how to prompt, approve, redirect, and coach the worker as a teammate, not a chatbot.
Weekly reviews of real runs. We adjust boundaries, tone, and workflows against actual examples from your week.
Quarterly reviews, new workflows as you grow, a named engineer, and SLA-backed response when it matters.
A structured, written review of your operation — where AI fits, where it doesn't, and a phased plan built around the bottlenecks you actually have. Useful on its own, even if we never build a thing for you.
2–3 sessions with leads across the business. We map where time actually goes.
Ranked list of workflows: effort, value, risk, and the right worker shape for each.
A written deployment plan — what to do first, what to wait on, what not to bother with.
We want the first yes to feel easy. Start with a free consultation or a single managed worker, then add extra usage, starter packs, and stronger models only when the return is obvious. All prices in GBP, excl. VAT.
A plain-English fit check, not a sales performance.
One practical AI worker, deployed into your business, managed by us, and priced so it's easy to try.
When you need more volume, more privacy, or bigger-model horsepower.
Keep the base price easy, then add capacity or capability when the work justifies it.
Add more monthly usage when your worker is doing real volume. Simple top-up, no surprise bill shock.
Bundle proven worker roles into a simple starting point, like Inbox & Replies, Lead Follow-Up, or Admin Support.
Use lower-cost models by default, then add stronger models for harder tasks only when the extra quality is worth paying for.
When one worker turns into a broader operational rollout, we design and deliver the larger setup properly instead of patching it together ad hoc.
Yes. In fact, that is the point. We would rather prove value with one useful worker than sell you a grand plan you do not need yet.
Your monthly plan includes a managed usage allowance. If you need more, you add extra usage. For many clients we can keep costs down with lower-cost open models, including Ollama-backed setups, then only use stronger premium models for the harder jobs.
They are simple bundles of proven worker roles we can roll out faster than a custom build, for example inbox, replies, follow-up, or admin support. Faster launch, lower risk, clearer pricing.
Good. That means it is working. We can expand into more workers, deeper integrations, private AI, or a heavier managed setup without making you start from scratch.
From a first managed worker to a fully private AI environment, we help you choose the right setup and make it work in the real world.