Home How it works Services Active Teams New Teams Applied AI in Flow Team Contact
Together Global India · AI in Flow

AI adoption stalls
on the human side.
Not the technical one.

Some teams avoid AI because the tool is too clunky to be worth the effort. Some quietly use tools we haven't approved, a compliance risk. Some read AI-drafted messages from HQ or clients as blunt, even rude, a relationship risk. Our Human-AI Friction Audit finds out which, and why, then fixes it so people and AI work seamlessly together.

95%

of frontline staff in India already use AI several times a week. (BCG, June 2026)

The gap isn't the tools. It's why people aren't using them

Yet 95% of generative AI pilots deliver zero ROI and never scale - not because the models fail, but because tools get bolted on top of workflows instead of built into them. (MIT, State of AI in Business 2025)

Half of organisations have no shared standard for how people and AI should work together. (BCG) Into that gap flows three kinds of friction: tools too clunky to be worth the effort, so people quietly go around them, a usability risk. Unsanctioned AI used off the books, a compliance risk regulators and clients now take seriously. And AI-drafted messages from HQ or clients that land as blunt, even rude, with the teams in India, a relationship risk.

The Human-AI
Friction Audit.

Teams in Flow - your humans aligned with each other. AI in Flow - your humans aligned with your AI.

Not a survey. Structured conversations that surface what people actually do: what they've quietly stopped using, what they use instead, and why. We name the friction, usability, compliance, relationship or trust, then fix it.

AI drafts and speeds things up. Your people still own the outcome: their judgement, expertise and the final call don't go away.

Diagnose. Design.
Track. Embed.

The same four-stage method we use across every engagement, pointed at AI adoption specifically - so the standard you end up with is built for how this team actually works, not imported from global HQ.

Diagnose

The Human-AI Friction Audit

Team by team, tool by tool. We find where AI is missing the mark: tools people find too clunky to bother with, shadow AI running under the radar, and AI-drafted messages from HQ or clients landing as blunt or rude with the team here.

Design

A fix for each kind of friction

Bespoke prompts, so messages from HQ and clients land right with your India team. A working standard for safe, sanctioned use, closing the compliance gap, simple enough to actually follow, not a policy document nobody reads. And hands-on training on the tools themselves, so using them properly is faster than working around them.

Track

Proof, not opinion

The standard gets built into the AI tools your team already uses, then measured with a Test vs Control pilot against the metrics you already track.

Embed

Until it's just how work happens

Managers use it first, visibly. We also find and back local champions, people who've genuinely made it work in their own role, since credibility travels sideways between colleagues faster than it travels down from a manager. Humans and AI working together, not around each other.

Four risks.
One audit.

"Buying me was the easy part. Working with me is the bit everyone assumes will just happen." - Claude, Anthropic

AI adoption rarely fails for one reason. It usually fails for several, at once.

The four risks, named

  • Usability risk: the tool is clunky or bolted on top of existing work, so people quietly do it manually instead. 54% bypassed their company's AI tools in the past month; a third haven't used AI at all. (WalkMe, 2026)
  • Compliance risk: shadow AI, and regulation catching up fast. People use unsanctioned tools because the approved one doesn't fit; Gartner projects 40% of enterprises will face a shadow AI-related breach by 2030. (Gartner, 2025) For regulated clients this is no longer optional: the EU AI Act's human-oversight requirement for high-risk AI becomes enforceable on 2 August 2026.
  • Relationship risk: AI-drafted messages from HQ or clients read as blunt, even rude, to the teams in India receiving them, straining the relationship from their side.
  • Trust and accountability risk: when a prompt implies the user already believes something false, top models agree with them 22% to 94% of the time, confirming the wrong answer instead of catching it. (Stanford HAI, AI Index 2026) Confident-sounding output slips into decisions unchecked, and it's unclear who owns the outcome. 61% of employees already worry about exactly this. (MetLife, 2026)

Fear plays into the first two: 30% of employees already use AI secretly, worried that using it well marks their role as replaceable. (Ivanti, 2025) The relationship risk is different. It isn't fear. It's tone, arriving from the other side of the corridor.

None of this means stepping back from AI. It means people stay in charge of it. AI drafts, suggests and saves time. Your team's insight, expertise and judgement still decide what's right, and still own what goes out the door.

What you leave with

A Human-AI Friction Audit naming exactly where the friction sits, plus the fix: bespoke prompts, a governance-ready working standard, and hands-on training, so people stay firmly in charge of the outcome. Proven in a Test vs Control pilot against your own metrics.

Is this the right
service for you?

Leaders rolling out AI across Indian delivery teams where adoption has stalled - or where the rollout is still ahead of you and you want the cultural defaults right from day one.

Typical clients are C-suite leaders, Heads of Delivery and AI transformation leads running GCCs or delivery pods of 30 or more people across Hyderabad, Bengaluru, Pune, Chennai, Delhi-NCR and Mumbai - working into UK, US and EU markets where our data shows adoption guidance rarely accounts for how India actually communicates.

C-Suite Leaders Heads of Delivery AI Transformation Leads GCC Leadership Delivery pods 30+

Get in touch.

  • 01We'll reply within one business day to arrange a call.
  • 02Tell us about your teams, AI tools and business goals.
  • 03We'll discuss a tailored pilot.
Prefer to reach us directly?

We'll come back to you within one business day.

Message sent.

Thanks, we'll be in touch soon.