The Agent Spectrum

Assistive Agents — AI That Prepares, You Decide

Assistive Agents do the heavy lifting — drafting proposals, recommending actions, preparing reports — but wait for your approval before executing. Human judgment stays in the loop where it matters most.

Key Takeaways

Assistive Agents sit between insight and full autonomy. They draft, recommend, and prepare — handling the cognitive load of repetitive decisions while keeping humans in control of high-stakes outcomes.

  • AI chat agents that answer operational questions in plain English from your data
  • Draft emails, proposals, and reports generated from your CRM and project data
  • Anomaly detection with recommended actions — not just alerts, but next steps
  • The human-in-the-loop pattern: agents draft, you review, tweak, and approve

What Assistive Agents Do

The Heavy Lifting, Without the Risk

Assistive Agents handle the cognitive load of repetitive decisions — drafting, recommending, and preparing — so your team can focus on judgment calls that actually need a human.

01

AI Chat Agents

Ask questions about your operations in plain English. "What was our margin on HVAC installs last quarter?" The agent queries your data and answers in seconds.

02

Draft Generation

Proposals, SOWs, follow-up emails, and reports drafted automatically from your CRM and project data. Review, tweak, send.

03

Recommendation Engines

When an anomaly is detected or a decision point is reached, the agent doesn't just alert you — it recommends a course of action with supporting data.

04

Guided Workflows

Multi-step processes where the agent handles data gathering, template population, and routing — surfacing each step for human review before proceeding.

Real Examples

Assistive Agents We've Built

National Solar Energy Company

An ML-powered quote generation agent trained on 30,000 historical quotes. Sales reps get AI-recommended pricing in 5 seconds — they review and adjust before sending. Human expertise enhanced, not replaced.

VisionWrights Sequence Agent (Internal)

Drafts personalized multi-touch outreach sequences, classifies inbound replies, and routes prospects through the pipeline. Every draft goes through an approval queue before sending. One person runs outreach that would require a 3-person SDR team.

Property Assessment AI

Document processing agents that ingest, classify, extract, and synthesize property assessment data. The agent prepares the analysis; a human reviews before it becomes a deliverable.

VisionWrights Contract Assembly (Internal)

Generates SOWs from templates, populates signature fields, routes through PandaDoc. The busy work between "yes, let's do this" and a signed contract is handled by an agent — with human review at every stage.

The Trust Question

The Approval Queue — Human Control by Design

The #1 concern we hear: "But who's in control?" The answer is you. Every Assistive Agent output routes through an approval queue. You review, tweak, and approve from desktop or mobile. Rejected items get feedback and the agent learns.

We built this pattern for ourselves first. Our own outreach emails, social posts, contracts, and reports all flow through the same approval queue. We trust our agents because we've calibrated them over thousands of decisions — and we'll help you do the same.

5s

AI-recommended quotes

30K

Historical quotes trained on

3x

SDR team productivity

100%

Human approval on outputs

Common Questions About Assistive Agents

What's the difference between Assistive and Autonomous?
Assistive Agents always wait for human approval before taking action. Autonomous Agents act independently within guardrails. Most organizations start with Assistive for high-stakes processes and move to Autonomous for low-risk, well-defined tasks.
How do Assistive Agents learn from my feedback?
When you approve, modify, or reject an agent's output, that feedback shapes future drafts. Over time, the agent's recommendations become more aligned with your preferences and standards.
Can my team use this without technical skills?
Yes. Assistive Agents are designed for business users. Chat agents respond to natural language questions. Draft generators surface their output in tools your team already uses. No SQL or coding required.
What does this cost?
Assistive Agent engagements typically range from $75,000 to $125,000, depending on the complexity of the workflows and the level of AI customization required. This includes the approval queue infrastructure and training.

Ready for AI That Prepares While You Decide?

Tell us what decisions consume your team's time. We'll show you how Assistive Agents can handle the prep work.