Dheer GuptaCo-founderTell Dheer where your team's hours go. He will tell you what he would automate first.
Workflows that start on their own when something changes in your CRM or inbox, with an AI step wherever a decision is needed. Your team keeps working the way it does now.
By hand
15-30 min
Automated
Under 1 min
Dheer GuptaCo-founderTell Dheer where your team's hours go. He will tell you what he would automate first.
Deal operations automation
Four automations wired into a climate finance company's CRM. A deal deck is built the moment a deal changes stage.
Pick one to see what starts it and each step a record takes until the job is done.
When a deal goes live in the CRM, its details are pulled into the client's slide template and an AI rewrites the seller's description for buyers. A deck that took 15-30 minutes by hand now takes under a minute.
If the AI step fails, a plain template fills in, so a deck always arrives. Its link never changes.
One writeup per automation, plus lead scoring and a weekly pipeline report.
The automations from our climate finance case study, as built. They run in the client's own CRM, inbox, slide and chat tools. Call insight extraction is still in validation.
Before we build, we write down what starts the workflow, each step it takes and where a person has to sign off.
It runs in the CRM, inbox and files you already pay for. The email tracker we built needed no change from the reps at all.
An AI reads the record and decides which way it goes. Anything that must be exact, like whether a screening came back clean, follows fixed rules.
If the AI step fails, a plain version still goes through. On the deal deck workflow, a template fills in, so a deck always arrives.
Checks are date-stamped and logged against the record they touched, so you can always see what ran and when.
A workflow that runs itself across the tools you already use, with an AI step wherever a decision is needed. When a deal changes stage, one of ours pulls the deal's details, has an AI rewrite the description for buyers and builds the deck in under a minute.
Lead scoring and qualification, call and meeting notes, CRM upkeep, deal collateral, pipeline and revenue reporting, compliance and risk screening, and workflows that take a different path depending on what an AI check finds.
An automation follows a set path, started by something that happens in your systems, with AI deciding at certain steps. An agent carries a task from start to finish and can talk to people, like Home Relay answering a maintenance call. Many builds use both.
No. We build inside what you already pay for: your CRM, inbox, file storage and team chat. For a climate finance client, all four automations were wired into the CRM the team already ran.
Most builds ship in two to six weeks. The price depends on what you want automated: how many steps, and how many of your systems it touches. It starts with a free 30 minute call, and we agree the price after that call.
For a climate finance company's operations team
Four automations wired into the client's CRM, each with an AI check that decides which way the work goes. Three are running; the fourth, which turns call transcripts into CRM fields, is in validation.
Raw leads scored and sorted into tiers in minutes, so reps start with the ones worth calling.
How we automate lead scoringA free 30 minute call with a founder. We will tell you what we would automate first, and we agree the price after the call.