Client feedback

Client Accounts

What Singapore businesses say about working with us

These are honest accounts from clients at different stages of AI adoption — some at the beginning, some well into a programme.

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47

Engagements completed

4.8

Average client rating

92%

Workflows active after 12 months

3+

Years practising in Singapore


Client Reviews

From those who have worked with us

"We came in fairly sceptical — we had been through a couple of technology initiatives that did not really take hold. The Still Surface session was different. The letter we received afterwards was precise and useful, and it helped us decide what we actually wanted to do next. We went on to commission a Reflective Build and the workflow has been in use since."

TW

Tan Wei Liang

Operations Director, Tanjong Logistics · April 2025

"The Reservoir Programme has been a good investment for us. The fortnightly cadence keeps the work moving without overwhelming the team. I would have preferred slightly shorter progress notes — they are thorough, perhaps more than we need — but the content is accurate and the written quarterly reviews have been genuinely useful for our board reporting."

PJ

Priya Jayakumar

Head of Internal Services, Meridian Advisory · March 2025

"What I found most useful about the Still Surface letter was that it described what we were already doing well — which saved us from changing things that did not need changing. The observations about where AI might help were specific rather than general. We are now midway through a Reflective Build."

MH

Marcus Heng

Managing Partner, Claridge Consulting · April 2025

"The handover document for our summary helper was more detailed than we expected. They had documented not just how to use it but the specific types of document for which it was not suitable. That turned out to be the part we referred to most often in the first few months."

LN

Linda Ng

Office Manager, Southgate Legal · February 2025

"Straightforward people to work with. They said what they were going to do, did it, and wrote it up clearly. The four-week trial was useful — we found one edge case where the workflow produced an inconsistent output, and they adjusted it within a week. Not glamorous, but that is what the work actually looks like."

RA

Reza Azman

IT Manager, Harbour Bridge Pte Ltd · March 2025

"We were three months into a Reservoir Programme when one of the AI tools we were using changed its pricing structure significantly. Tasek coordinated the vendor conversation, assessed the alternatives, documented the decision, and updated the relevant part of our governance framework — all without any additional billing. That kind of steadiness is what we were paying for."

SF

Siti Farhana

Deputy Director, Kilauan Foundation · April 2025


In Detail

Three engagement accounts

These accounts describe real engagement types and realistic outcomes. Client and organisation names have been changed at the request of the clients involved.

Challenge

A professional services firm processing high volumes of incoming client correspondence

A 25-person professional services firm was receiving 80–100 client emails per day, many of which required routing to the right team member and an acknowledgement. The task was taking two staff members approximately three hours each morning.

Engagement

Still Surface followed by Reflective Build — eight weeks in total

The Still Surface session identified the correspondence routing task as the most straightforward candidate for AI support. A Reflective Build was commissioned, scoped to a draft-routing helper that suggested routing decisions and drafted an initial acknowledgement for human review before sending.

Outcome

Routing task reduced from three hours to approximately 45 minutes daily

After the four-week trial, the workflow was adopted across the full team. The handover documentation was explicit that the helper was not suitable for correspondence involving client complaints — a category it handled inconsistently during the trial.

"The limitation section was the first thing we showed the new intake."

Challenge

A regional not-for-profit managing a significant volume of grant reports

The organisation was receiving lengthy grant progress reports from partner organisations on a quarterly basis. Staff were spending two to three days per reporting cycle reading and summarising each report for internal review — work that was thorough but time-consuming.

Engagement

Reflective Build — document-summary helper for long structured documents

A structured-summary helper was built to produce a first-draft summary of each report under a set of agreed headings, flagging sections where it had low confidence. The tool was configured for English-language reports with a standard structure only.

Outcome

Summary preparation time reduced by approximately 60%, with one clear limitation

The helper performed well on reports above 15 pages that followed the standard structure. Reports that deviated from the template or were under 10 pages required full manual review — a constraint documented explicitly and communicated to all staff users.

"We knew exactly when to use it and when not to. That clarity made all the difference."

Challenge

A mid-sized trading company wanting to integrate AI across four operational departments

The company's leadership had identified several areas where AI might reduce manual effort, but had no framework for prioritising them, no governance in place, and no staff with the time or expertise to manage an implementation alongside their existing responsibilities.

Engagement

Reservoir Programme — six months, four workflows addressed

Beginning with the department where the case for AI support was clearest, the programme moved sequentially through four workflows over six months. A governance framework was established in month two. One of the four workflows was discontinued after the first quarterly review, based on performance data.

Outcome

Three workflows active at close of programme; governance framework adopted organisation-wide

The closing report was presented to the board and used as the basis for the following year's AI budget planning. The discontinued workflow was discontinued on the recommendation of the quarterly review — a decision the company described as one of the more useful outcomes of the engagement.

"Being told to stop something is as valuable as being told to start it."


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