Great IT services companies lose their best people to problems they never see coming.
Workforce decisions in IT services are still made on lagging data, gut instinct, and reactive firefighting. Siwaan is the predictive intelligence layer that changes that — surfacing risk weeks before the damage becomes irreversible.
Attrition cost that triggered the Siwaan founding story
Senior engineers lost in a single quarter — before anyone noticed
Average lead time between first signal and confirmed departure
On-premise — your workforce data never leaves your environment
IT services firms are managing their workforce on yesterday's data
The workforce intelligence problem in IT services isn't a data shortage — it's a data fragmentation problem. HR systems, project management tools, and finance platforms generate signals continuously. But they never talk to each other, and nobody's looking at the right moment.
Invisible departure signals
Attrition signals appear in HR, delivery, and finance systems — siloed, weeks apart, never connected.
Decisions made too late
By the time a manager notices a flight risk, the resignation conversation is already scheduled.
Bench costs nobody planned for
Idle senior engineers sitting between projects silently drain $8–12k per month in unrecoverable capacity.
Hidden Cost Breakdown
Avg cost per unplanned senior departure
A 300-person firm losing 14 senior engineers in one quarter absorbs over $1.2M in combined cost — much of it invisible until it's too late.
Predictive Analytics
Attrition Trend + Siwaan Forecast · 2026
AI Narrative
Attrition forecast to spike in August. 3 targeted interventions already initiated this month reduce the projected peak by 31%.
Why it matters
Average time between the first detectable signal and a confirmed resignation. Siwaan finds that window.
A world where no delivery organisation loses a great engineer to a problem they could have seen
Siwaan is building the predictive intelligence layer for IT services workforce management — where attrition is anticipated, resources are matched intelligently, and every people decision is grounded in explainable, auditable AI. Not reactive. Not guesswork. Proactive.
Surface departure risk before the resignation window closes
Every prediction decomposed into auditable signals your team can act on
Measure success in departures prevented and capacity recovered — not reports generated
Built for the people who carry the weight of workforce decisions
Siwaan is purpose-built for IT services firms between 200 and 2,000 employees where delivery pressure, attrition, and bench cost converge into the same operational crisis.
“You're held accountable for attrition numbers you can't see coming.”
Current pain points
Attrition data arrives weeks after the damage is done
No unified view across HR, delivery, and finance signals
Can't demonstrate people strategy impact to the board
What Siwaan gives you
Explainable attrition risk scores, org health trends, and AI-generated board narratives — weeks ahead of the event.
“You're staffing projects with people you don't fully understand, on timelines that leave no room for error.”
Current pain points
Bench talent goes unmatched to open project roles for weeks
Skill data is stale, scattered across spreadsheets and CVs
Resource planning is gut instinct dressed up as a Gantt chart
What Siwaan gives you
AI-powered resource matching, real-time bench visibility, and capacity forecasts built on verified skills data.
“You have more data than ever and fewer tools to make sense of it.”
Current pain points
Fragmented HR systems that don't talk to each other
No early warning system for engagement or performance decline
Reporting is backward-looking — it tells you what happened, not what's next
What Siwaan gives you
A unified people analytics layer that surfaces actionable signals, not just dashboards, with privacy preserved by design.
Born from a $1.2M attrition problem nobody saw coming
“Fourteen senior engineers. One quarter. Over a million dollars in replacement and bench costs — and the signals had been there for months. We just weren't looking in the right place.”
The founders of Siwaan spent years leading delivery and people operations at mid-sized IT consulting firms. In 2022, after watching a 300-person company haemorrhage its most experienced engineers in a single quarter, they went back through the data. Every departure had been preceded by at least three detectable signals — declining sentiment, extended bench time, stalled skill development.
The data existed across HR, delivery, and finance systems. The problem was that nobody had built the tool to unify those signals, explain them in plain language, and surface them early enough to act. That gap became the thesis for Siwaan.
Our founding principles
Local-First, Always
Every predictive model runs on-premise inside your secure environment. Your employee data never touches our cloud — not for training, not for inference, not ever.
Explainable AI, Not Black Boxes
Every risk score is decomposed into SHAP attribution factors. You see exactly which signals drove the prediction — your team can agree, challenge, or override it with full context.
Outcomes over Dashboards
We don't celebrate page views or report counts. We measure departures prevented, bench days recovered, and hiring budget saved. If it doesn't move a P&L line, it doesn't ship.
SHAP Explainability
Priya S. · 87% departure risk
Feature contribution to risk score
AI Recommended Action
Book 1:1 this week. Assign to Project Phoenix — strong skills match + high visibility. Initiate L5 promotion conversation and comp review.
Every prediction tells you exactly why
Most AI tools give you a risk score and a colour. Siwaan gives you a decomposed, auditable explanation of every signal that contributed to that score — so your people leaders can act with confidence, not just compliance.
Unified signal ingestion
HR data, project bench status, sentiment surveys, and skill records unified into a single intelligence layer.
XGBoost + SHAP prediction
ML models trained on industry data score attrition risk. SHAP decomposes every score into weighted feature contributions.
Actionable narrative
AI generates plain-language recommended actions — not just who's at risk, but what your manager should do about it today.
The principles we refuse to compromise on
These aren't wall posters. They're the engineering constraints we built the product around.
Privacy by Default
No raw client data in our cloud database. Ever. We architected the entire product around this constraint — it's not a feature, it's a foundation.
Explainability First
Prediction without transparency is noise — and potentially harmful. Every insight surfaces its reasoning so leaders can make decisions they can stand behind.
Outcome Obsessed
Our success is a direct function of attrition prevented, bench costs recovered, and capacity plan accuracy improved. We measure what moves your P&L.
Customer Proximity
Every feature is developed alongside the CHROs, delivery managers, and HR ops teams who will use it daily. No features built in a vacuum.
No Fluff
Actionable signal over marketing jargon. If a feature can't reduce a workforce risk or recover a cost, it doesn't make the roadmap.
Ready to stop guessing?
See your workforce risk clearly — before it costs you
Connect your HR data to a secure local instance. We'll show you explainable attrition risk scores, resource matching predictions, and talent gaps — in a single session. No data leaves your environment.
Privacy-first · On-premise deployment · No vendor lock-in