AI Solutions
A CRM that maintains itself.
Activity logged automatically, leads scored on real behaviour, and the next action suggested rather than guessed.
Sound familiar?
- “Your CRM is only as current as your reps' willingness to update it, which is not very.”
- “Lead scoring is a formula someone invented once and nobody has revisited.”
- “Reps spend the first hour of each day deciding who to call.”
Capabilities
What it does.
Automatic activity capture
Calls, WhatsApp and email logged and summarised against the record.
Behavioural lead scoring
Scoring from actual engagement signals, retrained on your closed-won data.
Next-best action
A prioritised daily call list rather than a rep's guess.
Conversation intelligence
Call summaries, objections raised and commitments made, extracted automatically.
Deal risk alerts
Flags deals going quiet before they're lost.
Forecast support
Pipeline weighted by behaviour rather than optimism.
How we deploy it
The path from pilot to production.
Most AI projects die between a good demo and a working deployment. This is the sequence that avoids that.
Instrument capture
Calls and messages flowing into the CRM automatically before any AI is added.
Learn from history
Scoring trained on your own closed-won and closed-lost data, not a generic model.
Suggest, don't decide
Reps see recommendations with reasoning and stay in control.
Measure against baseline
Conversion compared to the previous scoring approach so value is provable.
Retrain
Scheduled retraining, because what predicts a win changes as your market does.
Data & privacy
Where your data goes, plainly.
This is the first thing enterprise procurement asks about AI, and most vendor pages avoid answering it.
- Customer conversation data stays within your CRM and Indian data regions.
- Call recordings processed with consent and retained per your policy.
- Scoring models trained on your data only — never pooled across clients.
- Reps see why a lead scored as it did; no unexplainable black box.
What it costs to run
Summarisation and scoring cost a few rupees per lead. The meaningful cost is integration work; the meaningful return is rep time redirected from admin to selling.
Technology
What we build it with.
- Anthropic Claude
- OpenAI
- Python
- scikit-learn
- PostgreSQL
- WhatsApp Business API
- Exotel
We're not tied to a model vendor. Systems are built so a provider can be swapped as capability improves or prices move.
It can be built into Sedwis CRM, or added as a layer on your existing one if it has a decent API. Replacing a working CRM is rarely worth it — the intelligence layer is what's missing.
Trained on your own history, meaningfully better than a hand-written rule set — typically a substantial lift in contact-to-conversion. We measure against your existing approach rather than claiming a number upfront.
Only if they can see the reasoning. Every score shows the signals behind it and every suggestion explains itself. An unexplained ranking gets ignored.
Consent is captured at call start and recordings are retained per your policy. This is a legal requirement, and we build it into the flow rather than leaving it to process.
Start here
Tell us the process, not the technology.
The best AI projects start from an expensive manual task, not from a decision to use AI. Describe the task and we'll tell you honestly whether this is the right tool.