Measurable sales goals
Frame work around an outcome such as qualified demos in a defined period, with an owner, budget and deadline.
ActovianAI SALES AGENTS
AI sales agents for governed research, qualification and outreach preparation
Actovian AI sales agents coordinate source-backed research, lead qualification, governed email drafts and meeting preparation under human approval.
No card required. Start in simulation mode.THE PROBLEM
Why isolated AI tools are not enough
Sales work is a chain of dependent decisions: which accounts match the market, what evidence supports that fit, which message is appropriate, who may receive it and when a human should intervene. Optimizing only the drafting step leaves the rest of that chain fragmented.
An AI sales workflow also needs a clear boundary between preparation and external action. Actovian keeps research and qualification moving while making the proposed recipient, content, reason and budget impact visible before a provider action.
HOW ACTOVIAN APPROACHES IT
From a measurable goal to governed work
The system separates planning, specialist work, decisions and external execution so each stage remains inspectable.
- 01
Set a measurable sales objective
Define the target outcome, period, owner, budget ceiling and the actions that must remain human-controlled.
- 02
Research the account segment
The Research Agent produces source-bound market and account research for a defined segment.
- 03
Qualify and prepare
The Sales Agent evaluates fit and creates the next bounded task rather than acting on every record.
- 04
Review the exact outreach draft
Policy, allowlist, risk and approval checks expose the recipient set, content and cost before Gmail draft creation.
- 05
Measure with evidence
The Analytics Agent calculates sourced metrics so an owner can distinguish completed work from unverified claims.
CAPABILITIES
What the platform supports
Source-backed account research
The Research Agent maps and verifies accounts, keeping evidence attached to the workflow.
Lead qualification
The Sales Agent scores fit and prepares the next step based on the goal and research context.
Localized email drafts
Draft outreach can be prepared for review; automatic email sending is not enabled.
Recipient controls
External recipient allowlists and business justification are part of the governed provider boundary.
Meeting and analytics follow-through
Qualified responses can lead to approved meeting preparation and sourced run metrics.
REALISTIC USE CASES
Where governed agents can help
New-market account research
Map a defined B2B segment, keep sources with each research result and pass only reviewed evidence into qualification.
Qualified outreach preparation
Score account fit, prepare localized drafts and hold the exact payload for owner review instead of sending automatically.
Demo-goal coordination
Coordinate research, qualification, meeting preparation and analytics around a time-bound demo objective without representing the target as guaranteed.
A USEFUL DISTINCTION
Actovian compared with a single-purpose sales AI tool
a single-purpose sales AI tool
- Optimizes one task such as drafting or scoring
- Requires people to transfer context between tools
- Can obscure which source, policy or approval produced an outcome
The Actovian approach
- Coordinates research, qualification, drafts, meetings and analysis around one goal
- Keeps evidence and decisions connected across agent handoffs
- Shows the exact outreach payload before a consequential provider action
CURRENT PRODUCT BOUNDARY
What Actovian deliberately does not do
Actovian does not promise qualified pipeline, booked meetings or revenue. Public figures such as “20 demos in 30 days” are synthetic goal examples used to show the measurable-goal model. Email sending remains disabled; the product supports approval-bound Gmail draft creation rather than autonomous outreach.
COMMON QUESTIONS
Clear answers for evaluation
What does an Actovian AI sales agent do?
The active Sales Agent qualifies leads and prepares governed outreach drafts. It works with research, email, meeting and analytics roles through the same goal and evidence trail.
Does Actovian guarantee demos or revenue?
No. Goals and demo metrics express what the workflow is trying to achieve; they are not performance guarantees. Sales outcomes still depend on market fit, data quality, offer quality and human decisions.
Can the sales agent contact anyone automatically?
No. Recipient controls, policy checks and approvals apply before provider action, and automatic email sending is not enabled in the current product.
What can a sales leader inspect?
A leader can inspect the goal, plan, agent role, evidence, budget context, risk decision, approval state, exact proposed payload and provider receipt when an allowed action occurs.
PRACTICAL RESOURCES
Evaluate the operating model
AI Sales Agents vs Sales Automation
Compare AI sales agents with traditional sales automation by research depth, adaptability, approval, evidence and execution risk.
Source-Backed Account Research for AI Sales Workflows
Build AI sales account research that separates verified facts, inference, freshness and open questions before outreach.
AI Lead Qualification: Evidence, Fit and Human Review
Evaluate AI lead qualification using explicit fit criteria, source evidence, uncertainty, human review and controlled CRM updates.
RUN THE COMPANY WITH AI. KEEP HUMANS IN CONTROL.
Start with one measurable goal and explicit boundaries.
Use the existing 14-day trial to configure a workspace, or inspect the synthetic demo before connecting any provider.