SFTWTRS.AI ENTERPRISE AI · FLAGSHIP PROGRAMME

OUR FLAGSHIP PROGRAMME · 1 OF 2

2026 THEME · KNOWLEDGE GRAPHS

One graph for the whole organisation.

Our flagship programme builds a centralised knowledge graph for your organisation and manages it with you, so every system, site and team draws on one governed picture.

Four phases to a living graph

1 · DISCOVER

Priority questions, value case, sources and success measures

2 · FOUNDATION

Ontology, WtrDB deployed, access model, first use cases live

3 · SCALE

Domain by domain onboarding, each source connected once

4 · INTELLIGENCE

Analytics, GraphRAG, Wtrospai and Wtr.Scene on one graph

THEN, RUN

Once the graph is live we keep it healthy as a managed service, with quality, security, cost and change all looked after.

What we create

Enterprise ontology and a common semantic layer

Pipelines from ERP, MES, CRM, files and sensors

LLM extraction from documents, email and news · 50 to 70% less manual data entry

Entity resolution into trusted golden records · 80 to 90% fewer duplicate records

Migration from existing graph and relational platforms

APIs, search and graph retrieval for AI

Access rules by role, region and sensitivity

Lineage that traces every fact to its source

How we manage it

Stewardship shared with your domain owners

Ontology change control and versioning

Quality scores for completeness, freshness and duplicates

Monitoring, backups, scaling and performance tuning

Security reviews and access audits

Usage reporting and cost control · 10 to 20% lower platform cost

A graph centre of excellence and training

Agreed service levels

How the programme is organised

Central graph team

Sftwtrs.AI and your core team, owning the ontology and platform

Domain stewards

People in each function who own their data and use cases

Governance council

Leaders who set priorities and settle shared definitions

EXPECTED IMPACTTypical ranges from comparable deployments; results vary by site

40 to 60%

less time finding information

20 to 35%

What one central graph brings.

The benefits compound: each connection makes the next question easier to answer.

EXPECTED IMPACT FOR EACH BENEFITTypical ranges from comparable deployments; results vary by site

01One version of the truth

Customers, parts and assets defined once

80 to 90% fewer duplicate records

02Answers in seconds

Weeks of emails replaced by following links

40 to 60% less time finding information

03Risk you can see coming

Weak links in supply chains surface early

20 to 30% earlier detection of risks

04Faster audits and compliance

Lineage shows where every figure came from

50 to 70% less audit preparation effort

05AI you can trust

Grounded assistants cite their sources

30 to 50% fewer made-up answers

06Connect once, reuse everywhere

Each system joins once, not point to point

30 to 50% fewer integrations to maintain

07Change without starting over

New plants and acquisitions slot right in

40 to 60% faster onboarding of new sites

08Knowledge that stays

Expert know-how kept when people move on

30 to 40% faster onboarding of new staff

09Better decisions and growth

Relationships reveal cross-sell and new markets

10 to 20% more cross-sell openings found

10A lower cost of data

Fewer duplicate stores, reports and pipelines

20 to 30% lower cost of data platforms

Who feels the difference

Leadership

One trusted picture

Operations

Faster root cause

Finance

Numbers that agree

Risk and compliance

Evidence on demand

Engineering

Parts and changes linked

IT and data teams

Fewer integrations to maintain

HOW WE MEASURE SUCCESS TOGETHER

Time to answer key questions Systems connected Duplicate records removed AI answers with citations Audit preparation effort Teams using the graph every week

Nilesh AI Systems Pvt Ltd · sftwtrs.aiExplore

SFTWTRS.AI ENTERPRISE AI · FLAGSHIP PROGRAMME · HOW IT WORKS

HOW IT WORKS

2026 THEME · KNOWLEDGE GRAPHS

One governed graph, built and run with you.

The programme connects every system to one central graph and keeps it healthy with your teams.

THE CENTRAL GRAPH

Connect once, reuse everywhere

Each system joins once instead of point to point, so you maintain 30 to 50% fewer integrations (expected).

OPERATING MODEL

Who looks after what

Domains own their data, the central team keeps the platform healthy and the council settles definitions.

25 to 40% lower run cost of the processes it touches

HOW IT GROWS

From first use case to managed service

The programme grows domain by domain, and we keep the graph healthy once it is in daily use.

40 to 60% faster onboarding of each new domain

HOW WE MEASURE SUCCESS TOGETHER

Expected impact · typical ranges, results vary by site

Time to answer

Key questions, before and after

40 to 60% less time to answer

Answers with citations

Share of answers with a source

Over 90% of answers cited

Weekly use

Teams on the graph every week

60 to 80% of target teams weekly

Nilesh AI Systems Pvt Ltd · sftwtrs.aiExplore

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