Sales Process Automation01

Sales process automation that gives sellers their time back.

AI agents that log the activity, draft the quote, and steer the next conversation — built on your sales rules, owned by you.

  • AI implementation services
  • AI agents that log, draft, and steer
  • Deployed in your cloud environment
  • You own the agents and the IP

Official services partner of the platforms defining AI

NVIDIAAnthropic
Peter Enestrom, founder of Zaigo

Every engagement is led personally by Peter Enestrom and the Zaigo AI & engineering team

YaleColumbia UniversityMicrosoft
The broken Friday01

Sales activity tracking is a second job nobody hired for.

From sales floors we have sat with: the revenue leader of a roughly hundred-seller education-technology reseller, three merged companies becoming one — mid-transformation from regional relationship selling to a structured, data-driven motion.

  • Every meeting logged by hand

    Reps type every customer meeting into the CRM themselves — if it is not in the CRM, it does not exist — so selling time becomes clerical time.

  • Quoting means three portals side by side

    The same part number gets checked in three distributor portals every morning to find stock and price — burning quotes while the customer waits.

  • Which product fits lives in a few heads

    New line or the panel they already know? Product-fit and rebate-steering judgment sits with a handful of veterans — the rest guess.

  • Churn-and-burn orders eat senior sellers

    Over a thousand small orders a month, each quoted by hand — senior reps spend the week on mice-and-keyboards deals instead of strategic conversations.

  • When you can see everything, you can see nothing

    Dashboards multiplied during the transformation, but nobody trusts the activity data underneath — it depends on what reps remembered to log.

What manual costs02

A hundred sellers doing clerical work is a line item, not a feeling.

What the manual way looks like at a reseller whose sales rules live in inboxes and a few veterans’ heads. Your numbers will differ — the first week of an engagement puts figures on yours before anything gets built.

Three portalsDistributor sites checked side by side for the same part number before a quote can go out
Six a weekThe activity-logging quota reps learn to game — compliance theater instead of customer data
~1,300 a monthSmall churn-and-burn orders quoted line by line — senior sellers’ hours on sub-$2.5K deals

From an anonymized engagement — an education-technology reseller formed from three merged companies

How it works03

Sales workflow automation, encoded from your rules.

No new system for your reps to learn. Sales process automation starts with the rules your best sellers carry — encoded, they become agents that do the clerical work.

  1. 01

    Shadow one sales team

    We trace a week of selling — logging, quoting, order chasing — and write down the rules the work actually runs on.

    Week one
  2. 02

    Encode your sales rules into agents

    Activity capture, distributor price checks, product-fit guidance, quote floors — documented against your data, built in your cloud environment.

    Yours to keep
  3. 03

    Agents log, draft, and steer

    Meetings log themselves, quotes draft against your rules, and reps get the next best conversation — exceptions reach a person.

    Every rep
Not another sales tool

Guided selling software gives you a blank engine. Your sales rules are the product.

Sales automation platforms sell you the engine — a data model, a seat license, a configuration project your team then maintains. When you cancel, the capability leaves with the subscription.

We are an AI implementation services firm: we encode your rules — logging, quoting, product-fit — into agents that run in your cloud, and hand over the IP. You own the machine.

What you own
One rule setLogging rules, quote floors, product-fit guidance, rebate steering — encoded against your data, yours to keep
Your cloudWhere the agents run — inside your security perimeter, against your CRM and order data
Human in the loopRoutine work flows through — anything that breaks a rule lands in an exception queue with the reason attached
Peter Enestrom, founder of Zaigo
Who builds it

Led by Peter Enestrom.

Founder — leads AI & Engineering

Pete Enestrom

Every engagement is led personally by Pete, working with the Zaigo AI & engineering team from the two-week audit through the production handover. The person who scopes the work is the person who builds it.

Education
Yale & ColumbiaGraduate
Background
Microsoft & IntelFormer
Experience
Exited FounderVenture-Backed

Background

Questions04

Asked by revenue leaders mid-transformation.

The straight answers, before you book anything.

Sales process automation is software doing the clerical work of selling — logging the meeting, checking distributor pricing, drafting the quote, steering the next conversation — under rules a person sets. Our version is AI agents built on your rules: routine work flows through, and only exceptions reach a person.

We do, with your team. Every agent runs human-in-the-loop: routine work flows through, exceptions route to your people with the reason attached, and we stay on supervision after launch — watching accuracy, tuning the rules, and expanding scope only when the numbers hold.

In your cloud environment, inside your security perimeter, against the CRM and order data you already keep. You own the agents, the encoded rules, and the IP. There is no per-seat license and no dependency on us to keep everything running.

Meetings, emails, and calls are read from the systems reps already use and logged against the right account and opportunity — no manual entry. The activity record becomes complete for the first time, so coaching and forecasting run on what actually happened.

No. Reps keep working where they work today — meetings log themselves, drafts appear for review, and only exceptions ask for a decision. Adoption is a change-management question, not a training one, and we stay on through it.

Start with one workflow.

Tell us where your team loses hours. We will come back with a straight answer on whether AI can help, what it would take, and what it would pay.