Trilithosby DataSmith AI
Open AItlasOpen Anvil

Business value

Measured, not promised.Four to six months became about one.

Measured on DataSmith AI's own live client engagements since October 2025, from engagement records, project timelines and payroll rates. These are documented results from those engagements, not a guarantee for every engagement.

01Elapsed time

Months became weeks.

With the same team. No additional staff were hired to achieve these figures.

  • Consulting paper

    ~95%

    Before6–8 weeks
    With Trilithos2–3 days

  • Moderate application

    ~75%

    Before12–16 weeks
    With Trilithos3–4 weeks

  • End to end

    ~80%

    Before4–6 months
    With Trilithos~1 month

All three rows share one time scale. A range is drawn solid to its lower bound and hatched to its upper bound. Percentages are the documented reduction in elapsed time.

02Labour per client

A saving of S$55,000–115,000 per client.

Close to four-fifths of the labour cost, across the documented engagements. Figures in Singapore dollars, from the firm's payroll rates.

  • Consulting labour

    BeforeS$15,000–20,000
    With Trilithos~S$1,000

  • Development labour

    BeforeS$54,000–128,000
    With TrilithosS$14,000–32,000

  • Total per client

    BeforeS$70,000–148,000
    With TrilithosS$15,000–33,000

All rows share one scale in Singapore dollars. Documented results from those engagements, not guaranteed savings for every engagement.

03What else moved

The constraint moved from capacity to demand.

  • Binding constraint

    Delivery capacity

    Demand

  • Engagements per year

    Two or three

    Several times that, same team

  • Client review rounds per deliverable

    3–4

    ~1

Clients previously waited four to six months with nothing to review in between. They now approve a working preview before the build starts. Time saved becomes billable work rather than cost avoided alone.

04Accuracy

Better, not only faster — for a different reason at each stone.

  1. AItlas

    Everything produced during the engagement reaches the delivered document. Analysis that has been generated cannot be lost before it gets to the client.

  2. Data Weaver

    The specification is derived from the requirement the client approved, so the developer builds from the client's own agreed content rather than a second-hand reading.

  3. Anvil

    The application is built to that specification and confirmed running before release — never reported as delivered when it does not work.

05Stated deliberately

What did not get faster.

Client interviews, the consultant's judgement, and the relationship work take as long as they did before, and were never intended to be compressed.

What was reduced is the production and conversion work around them. This is stated because it is where AI claims are commonly overstated.

It is too early to report a repeat-engagement rate.

Enter the platform

Two doors, one structure.

Consultants work in AItlas. Developers work in Anvil. Data Weaver carries the approved requirement from one to the other.

Data WeaverHand-off inside Trilithos · approved requirement → build contract

For consultants

AItlas

  • Understand the business.
  • Build the strategy.
  • Define what should be built.
Open AItlas

For developers

Anvil

  • Turn the approved requirement into software.
  • Design. Build. Deploy. Release.
Open Anvil