AskChamp™ · AI Finance Co-pilot
Your finance questions shouldn't wait days for an answer.
AskChamp™ answers in plain English from your own governed data, shows the source behind every number and reveals only what each user may see.
The challenge
Insight shouldn’t wait for a report.
Decisions don’t wait
Leaders get answers when the question comes up, not days later.
Analysts on analysis
Routine questions stop landing in the analyst queue.
Insight reaches everyone
Every leader self-serves, within their access rights.
Why modern finance functions need an AI Co-pilot
- 1–3 days for an ad-hoc answer
- Analysts tied up in routine requests
- Public AI numbers no one can trace
The Shift
Where the day gets stuck.
For every finance user: the moments that slow you down, and what changes. Pick your industry to see the drill-down.
- 4:45 pm
The CFO needs a number for a 5 pm call. The analyst is out.
Ask AskChamp™ and get the figure with its source.
Time back - Monday
Twelve ad-hoc requests sit in the analyst queue.
Leaders answer routine questions themselves.
Ease of use - Board prep
A public AI tool gives a number no one can trace.
Every answer links to the report, working or entry behind it.
Trusted data - Mid-month
An overdue close task goes unnoticed.
Nudges and a weekly digest flag it, including on WhatsApp.
Governance
Spotlight
One question. The full picture.
An answer, the drivers behind it, the drill-down, a forecast, and a way to keep watching. Switch between the web app and WhatsApp.
Knowledge bases
Access checked
Laminates BU, Pune plant
Why did contribution per kg fall in September on the laminates line?
- Mapped to: Contribution per kg (agreed definition)
- Access: Laminates BU, Pune plant
- Checked: sales register, BOM, production and wastage log
Contribution fell from ₹41.8 to ₹36.2 per kg
DriverImpact
Business interpretation
- Three drivers explain ₹5.1 of the ₹5.6 drop.
- Wastage rose on Line 2’s night shift for 3 FMCG pouch SKUs.
- 11 of the 14 die changes were for orders under 2 metric tons.
Calculation explanation
Formula used:Contribution per kg = (Net sales − Material − Variable conversion) ÷ kg dispatched
Sales register: SepBOM v4.1Production & wastage log
Suggested next
- Which contracts allow a film price pass-through?
- Contribution per kg by customer for these 3 SKUs
- PredictIf BOPP stays at today’s price, what is Q3 contribution per kg?
Projected Q3 contribution: ₹37.0/kg (range ₹35.9–38.1), based on 24 months of prices and volumes.
Keep watching this?
📌 Pin this question · Add to Weekly Digest · Add to Daily Anomaly Review
Now ask it yourself.
Try AskChamp™ on a sample company’s books: margins, receivables, cash and close. Use your own questions.
AskChamp™ on WhatsApp
Your finance analyst, on WhatsApp.
The most direct way to use AskChamp™: leaders ask by text or voice note, and the important numbers come to them, with no new app to learn. Live in 2–3 weeks. We run the trust layer.
- Ask by text or voiceAnswers in seconds, with a small chart and the source behind the number.
- Daily Anomaly Review at 9 amUnusual credit notes, wastage, overdue receivables or cash dips, sent to the owner.
- Weekly digest every MondaySales, margin, cash and DSO for the week, in one short message.
- Pin and follow upPin a question, ask for a forecast, or drill down with one tap.
1. Credit notes for Distributor 14 are 3.2× their usual level (₹8.6 L).
2. Line 2 wastage is 5.1% against a 3.8% target.9:00Show detailsRemind me at 2 pm
Receipts expected this week: ₹2.1 Cr.
Lowest headroom: 18 Oct, after the GST payment.Source: Bank balances · today 8:30 am9:05Forecast 13 weeksAdd to digest
Contribution ₹36.9/kg (−₹0.4)
DSO 58 days (+2)
Watch: 3 hospital accounts over 90 days.8:00Open full digest
Illustrative conversation · names and numbers changed
- Verified before anything is sharedRegistered number plus OTP. Numbers are limited to the user’s access.
- 9 am: the anomaly comes to the founderCredit notes at 3.2× normal and wastage above target, with one-tap actions.
- One tap to drill downA 6-week chart, the 18 notes behind it, and the source register.
- Ask by voice note“What’s our cash across banks today?” Answered with headroom and a forecast option.
- Monday: the weekly digestSales, contribution, DSO and what to watch, in one message.
🔒 We take care of the trust layer
- Verified business number
- Registered users only
- OTP on new devices
- Row-level access in the data
- Summaries, not raw extracts
- No file downloads
- Every chat logged
Live in 2–3 weeks
- Week 1Connect your books, register users and roles, agree KPIs.
- Weeks 2–3Accuracy check against your books, then go live on WhatsApp.
Your finance analyst, in Teams.
Ask in a chat or a channel, and the important numbers are posted where your team already works. Sign-in stays with your Microsoft account. We run the trust layer.
What you get
- Ask in chat or a channelAnswers with a small chart and the source behind the number.
- Daily Anomaly Review at 9 amPosted to the owner, or to a finance channel you choose.
- Weekly digest every MondaySales, margin, cash and DSO for the week, shared with the right people.
- Pin and follow upPin a question, ask for a forecast, or drill down in the thread.
We take care of the trust layer
- Microsoft Entra ID sign-in
- Your tenant policies apply
- Registered users only
- Row-level access in the data
- Summaries, not raw extracts
- No file downloads
- Every chat logged
Rollout
- Week 1Connect your books, register users and roles, agree KPIs.
- Weeks 2–3Accuracy check against your books, then go live in Teams.
Your finance analyst, in Slack.
Ask in a direct message or a channel, and alerts and digests arrive where your team already talks. Access follows your Slack workspace. We run the trust layer.
What you get
- Ask in a DM or a channelAnswers with a small chart and the source behind the number.
- Daily Anomaly Review at 9 amPosted to the owner, or to a private finance channel.
- Weekly digest every MondaySales, margin, cash and DSO for the week, in one short post.
- Pin and follow upPin a question, ask for a forecast, or drill down in the thread.
We take care of the trust layer
- Slack workspace sign-in
- Approved channels only
- Registered users only
- Row-level access in the data
- Summaries, not raw extracts
- No file downloads
- Every chat logged
Rollout
- Week 1Connect your books, register users and roles, agree KPIs.
- Weeks 2–3Accuracy check against your books, then go live in Slack.
Use cases
One co-pilot, many ways to use it.
A selection of how finance teams put AskChamp™ to work.
On demand
Answers the moment you ask.
- Ask
Instant answers
Ask in plain English on web or WhatsApp and get the figure, its drivers and the source behind it.
- Report
On-demand MIS reports
Generate a P&L, cash or receivables view for any entity, period or region, without waiting for the analyst.
- Explain
Variance and root-cause analysis
Split a movement into price, volume, mix and cost, then drill down to the entries behind it.
- Predict
Forecasts and what-ifs
Project cash, margin or EBITDA and test scenarios such as a price change or a freight rise.
- Board
Board and review prep
Draft variance commentary and pull the supporting numbers for board, lender or monthly reviews.
Proactive
It speaks up, before you ask.
The same agents watch your data between questions and tell the right person when something needs attention.
- Alert
Daily anomaly alerts
Unusual credit notes, wastage, overdue receivables or cash dips flagged to the owner every morning.
- Digest
Weekly digest
Several agents each review one area, such as close, cash, sales and margin, and combine their findings into one short digest.
- Nudge
Nudges
Overdue close tasks, pending statutory payments, unreconciled items and new exceptions, sent to the owner.
- Monitor
Pinned KPI watchlists
Pin the numbers you track and get notified when they move beyond the range you set.
Alerts where you work
Delivered by email, WhatsApp, Teams or Slack, each with a link back to the number behind it.
Day one
Set up for you, not a blank chatbot.
- Set up
A short onboarding questionnaire
7–9 questions decide your default KPIs, digests, alerts and data owners.
- Brief
Weekly and monthly digests
Including a 3-minute voice briefing every Monday at 10 am.
- Warn
Early warnings from day one
Default anomaly and early-warning thresholds, each tied to an action.
- Ask why
Reasons from data owners
Owners are asked to explain gaps, such as salespeople on drag accounts. Answers feed an action tracker.
- Score
Scores you can track
Data Quality Score and Forecast Confidence Score, recorded at onboarding and improving with every review.
Default agents
Sales agents, ready to switch on.
Each agent has one job, works on your governed data and reports to the right person.
- Sales Quality Score
- Performance scoring
- Repeat and cross-sell
- Churn risk
- Product-mix push
- Schemes
- Customer vs last 12 months
- Early warning signals
- Reason gathering
- Salesperson playbook
- Sales target with confidence %
- Peer benchmarking
- Collections
Profitability, operations and collections agents follow the same pattern. Personal data is masked by default.
& many more.
By role
Ask. Explain. Predict.
AskChamp™ comes with every package. What it can do grows with the package. Pick a role to see the questions at each level.
Essential
Ask
AI maturity ·Basic
What is EBITDA year to date against budget?
The figure, with a link to the P&L behind it.
Source and definition attached
Scale
Explain
AI maturity ·Intermediate
Why is EBITDA below budget this quarter?
Drivers split by price, volume, mix and cost, by region.
Source and definition attached
Enterprise
Predict → Act
AI maturity ·Advanced
Where will Q4 EBITDA land if freight stays high, and what should we change?
A forecast range, two options to close the gap, and a follow-up task.
Source and definition attached
Ask your first question in two minutes.
Use the sample dataset, or bring three questions your team asks every month.
Opens chat.datachamps.ai with a sample company's books. No setup, no card.
How it works
Four layers, one set of numbers.
Not a chatbot on a database. AskChamp™ runs on the same governed layers as your dashboards, so its answers match your reports.
- CFO
- Controller
- FP&A
Data foundation
Raw → standard → golden · PII masked · Azure · Databricks
Context layer
KPI definitions · Group CoA · Access rules
Check: schema + data quality score
AI agents
Answer · Explain · Predict · Nudge · Digest
Check: reconciled to your books
Where you use it
Web · WhatsApp · Co-pilot chat · MCP
Check: KPI + answer accuracy
Tally · SAP · Oracle · Dynamics · NetSuite · Zoho · CRM · Payroll · Bank
↑ Every answer travels upwith the same definitions as your dashboards, and a link back to source.
- Understand
- Map to KPI definition
- Apply your access
- Query governed data
- Answer with source
If the governed data can't answer a question, AskChamp™ says what's missing instead of guessing.
Trust and governance
Six non-negotiables.
Built once into every deployment. No AI run can bypass them.
Governance
Every AI action logged, with input, output, model and approver.
Trace any number to its source rows
Security
Credentials only in a vault. Separate Azure resources per client.
No credentials in prompts, code or logs
Personal data
Masked on arrival, before any AI model sees it. DPDP-aligned retention.
Zero raw personal data in AI context or logs
Access control
Role-based, enforced in the data layer. Read-only, no downloads.
Access review with you before go-live
Accuracy
Reconciled to your trial balance, Power BI or audited numbers.
100% tie-out on ledger totals
Speed
AI builds your pipeline. Scheduled refreshes run tested code.
Refresh within your agreed service level
How WhatsApp access stays secure
Identity, permissions and every exchange remain controlled and auditable.
- Register once: Number, role, entities and access
- Verify: OTP on first use and new devices
- Enforce in data: Rows outside your access stay hidden
- Summarize: Sensitive asks get summaries, not extracts
- Log: User, role, query and data touched
Our Certifications
Your finance data secured and your AI governed, to international standards.
Implementation
Live in 2 to 3 weeks.
Every deployment follows the same staged path. Each stage closes with an automated check and, where needed, sign-off from your team.
- Days 1–3
Connect and profile
Read-only access to your systems through a secure vault. Personal data is masked as it arrives.
Check: access + PII scan - Week 1
Standardize
Your data is mapped to a standard finance structure and scored for quality.
Check: schema + data quality - Week 2
Golden records and KPIs
Clean masters, your KPI definitions and your business’s own terms are applied.
Check: reconciled to books - Week 3
Go live
AskChamp™ goes live on web and WhatsApp, answering only from KPIs that passed every check.
Check: KPI + answer accuracy
- Tally
- SAP
- Zoho
- Busy
- Finance
- Sales
- Purchase
- KPI glossary
ROI Calculator
What AskChamp™ is worth to you.
The outcomes we measure with every client, and a quick way to size the time it gives back to your team.
- MinutesTime to answerAd-hoc questions that took one to three days now take minutes.
- Hours backAnalyst time returnedRoutine requests are self-served, so analysts spend time on analysis.
- 100%Tie-out on ledger totalsAnswers are checked against your trial balance or Power BI before go-live.
- EarlierExceptions caughtThe Daily Anomaly Review flags issues before month-end, not after.
- 2–3 weeksFrom data access to answersPre-built skills for your source systems and KPIs shorten every deployment.
- Day 1Baseline scoresData Quality and Forecast Confidence Scores recorded at onboarding and tracked every month.
Size your time savings
- Analyst hours returned a year
- 1,638
- Value of time returned
- ₹13.1 L
- Full-time equivalents freed
- 0.9
Hours = people × questions × 52 weeks × hours per question × share answered. Excludes faster decisions and exceptions caught early, which are often worth more.
FAQ
Common questions.
No. It answers only from your governed finance data.
No. It starts pre-set from a short onboarding questionnaire, with default digests, early warnings, data owners and baseline scores, which you can edit at any time.
Inside KoshaOS™ on the web and on WhatsApp, with Microsoft Teams coming soon.
Yes. The depth of AI grows by package, from Ask to Predict, Recommend and Act.
Yes. AskChamp™ and your dashboards read the same agreed KPI definitions from the Context Layer.
Anything connected to your KoshaOS™ data foundation, including Tally, SAP, Oracle, Dynamics, NetSuite and Zoho, plus CRM, payroll and bank data.
The AI Readiness Index shows where data is incomplete, and AskChamp™ says when a question can't be answered reliably.
We host it for you, or deploy in your own cloud, in the region and under the security policies your IT Security team prefers.
Typically 2 to 3 weeks from data access, depending on the number of sources and entities.
No. It can only use KPIs and tables that have passed the final accuracy check against your books.
Only registered, verified users, and only the rows their role allows. Permissions are enforced in the data layer.
Yes. AskChamp™ on WhatsApp is a paid engagement, live in 2–3 weeks, with Datachamps running the trust layer.
Yes. Try AskChamp™ on a sample company's books with your own questions.
Ready to See It in Action?
See AskChamp™ answer your own questions.
Bring three questions your team asks every month. In 30 minutes, we’ll show how AskChamp™ answers them.
Not ready to talk?
See sample results