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AI & Automation Solutions

Improve Team Productivity with AI

To improve team productivity with AI, you need to match tools to specific tasks and teach people how to use them well. We find where each team loses time, set up assistants and agents, and train staff on their real work.

What you can expect to move

  • Hours saved per week
  • Process cycle time
  • Error rate
  • Cost per task
The problem

Why “improve team productivity with AI” rarely happens with one channel

Companies often buy AI licences and see little change. People try a few prompts, get generic results and give up. Others use AI heavily but inconsistently, with no shared prompts, no review of quality and unclear rules about what data can be used. Managers cannot tell whether time is actually being saved.

We interview each team to list tasks that are frequent, text-heavy or analytical: drafting emails and proposals, summarising meetings, research, data cleaning, reporting and first-level support. Then we choose tools such as ChatGPT, Claude, Gemini or Copilot, build shared prompt libraries and custom assistants, and run hands-on training using real tasks. We measure time taken before and after on selected tasks and adjust.

Some tasks need judgement or relationships that AI cannot replace. We help teams see the difference.

How Nians approaches it

We find the constraint first, then put the right specialist services under one plan and one owner, so every change is measured against the same outcome.

How the solution works

How it all comes together

Diagnose

Baseline the metric, find the constraint and size the opportunity.

Design

Choose the service mix and sequence that removes the constraint fastest.

Deploy

Specialists execute in parallel under one plan and one owner.

Optimise

Weekly iteration against the outcome, not vanity metrics.

Expected outcomes

What we measure

Hours saved per week

Baselined in week one and reported monthly.

Process cycle time

Baselined in week one and reported monthly.

Error rate

Baselined in week one and reported monthly.

Cost per task

Baselined in week one and reported monthly.

Engagement timeline

Your first three months

MONTH ONE

Diagnose & quick wins

Audit, tracking fixes, baseline and the first quick wins live.

MONTH TWO

Build & launch

Core changes shipped across the service bundle; testing begins.

MONTH THREE

Optimise & scale

Double down on what works, cut what does not, plan the next quarter.

FAQ

Questions we often hear

Straight answers to the things clients ask us most. If yours isn’t here, just ask.

Still have a question?Talk to a strategist. We usually reply within one working day.Ask us directly
Which teams benefit most from AI tools?
Teams with lots of writing, research, analysis or repetitive communication tend to gain most: marketing, sales, support, HR, finance operations and product. Gains depend on task fit, training and whether managers encourage regular use.
How do we measure productivity gains from AI?
Pick specific tasks, measure time and quality before rollout, then measure again after training. Track adoption by team and gather feedback. Avoid vague company-wide claims. Concrete task-level measures show where AI helps and where it does not.
How quickly can you help us improve team productivity with AI?
Quick wins usually go live in the first month, and the bigger structural changes land over the following two. You see the plan and milestones before we start.
Do we need all the services in the bundle?
Not always. The diagnosis tells us which ones matter for you. Some clients start with two, others with the full bundle.
Can you work with our in-house team?
Yes. We often lead strategy and specialist execution while your team owns brand, approvals and day-to-day channels.
Next step

Talk it through with someone who has done it before.

A free 30-minute session with a senior Nians strategist. You leave with a prioritised plan, whether or not you work with us.

Talk to an Expert
Free · 30 minutes
Talk to an Expert