At Eightfold, Project Andromeda is where AI moves from experimentation to execution. This is not about demos or one-off copilots. It’s about building a new operating model — one where agentic AI, powered by each employee’s Digital Twin, absorbs repetitive cognitive work and returns time to people for higher-impact decisions. The mission is simple: absorb friction, empower people, and amplify meaningful work.
GTM is where this shift shows up fastest. Sellers, solution consultants, CSMs, RevOps, and partners operate in a world of constant context switching — searching for assets, rewriting the same narratives, and rebuilding first drafts under deadline pressure. Andromeda’s GTM agents are designed to step into those moments, using each user’s Digital Twin to understand context and create immediate momentum.
As of January 2026, the program has reached 1,400+ engagements, 1,350+ hours saved, 175+ users, and eight agents live. That’s the point where agentic AI stops being a pilot and starts becoming muscle memory across the organization.
The GTM “moments of work” we’re targeting
Less toil, more momentum
Project Andromeda focuses on the everyday moments where GTM teams lose time to repetitive cognitive work — research, messaging, RFx responses, and value storytelling. These are the places where agentic AI can create immediate impact.
1) Account research and planning
From a blank page to a deal-ready brief (Account Intelligence)
Andromeda Account Intelligence provides on-demand strategy and account planning support. It generates a structured, living briefing document covering company profile, financials, strategic priorities, HR tech landscape, and more.
What makes it truly useful for GTM is that it goes beyond raw company facts. It produces:
Suggested messaging aligned to our values:
- ROI framing
- Hypothesized talent challenges
- Competitive positioning and objection handling
It also avoids duplicate work by reusing existing briefs when available.
The impact has been meaningful: 750+ hours saved across 180+ engagements, with active use by more than 80 sellers. This is the kind of “time-to-first-point-of-view” improvement that changes how GTM teams operate.
2) The “front door” to GTM help
One entry point for messaging, assets, and competitive insight (Sales Assistant)
Andromeda Sales Assistant acts as an AI-powered GTM command center inside Slack. Instead of juggling tools, reps use a single interface to:
- Find prospect-facing assets and events
- Surface customer stories and use cases
- Generate competitive narratives
- Draft pitches aligned to our value framework
- Route internal questions (“Who owns this?”)
It’s not just a copywriting tool — it’s a GTM concierge that reduces tribal knowledge friction. With 80 engagements in a short time, it validates the “front door in Slack” model for daily seller workflows.
3) RFx response acceleration
From manual drafting to structured, auto-filled responses (RFP Agent)
RFP and RFI work is high-stakes and deeply repetitive. The Andromeda RFP Agent:
- Analyzes client RFP documents
- Generates structured responses across key sections
- Auto fills questionnaires using the response library
- Pulls deal context directly from Salesforce
With Digital Twin integration, the agent can now handle Q&A more autonomously and accurately, improving both speed and quality of responses.
4) Retention and renewals
Proving value with data-driven business value review decks (Customer Slides)
For post-sale teams, Andromeda Customer Slides automates the creation of executive-ready Business Value Review presentations. It turns adoption data and value metrics into a structured, branded narrative.
Instead of starting from scratch, teams receive:
- A ready-to-edit customer facing presentation/slide deck
- Supporting data sheets
- A value-driven storyline
This “artifact-first” approach is key to adoption. Since launch, the agent has delivered 41 engagements and 164 hours saved, while improving the quality and consistency of renewal conversations.
Why digital twin is the differentiation layer (not just “more bots”)
As Project Andromeda expands, the goal is no longer just to create more agents. The real challenge is ensuring those agents are trusted, discoverable, and consistently high quality. That is where Digital Twins — especially Subject Matter Expert (SME) twins — become the core differentiation.
Most agents in the market today are generic copilots. They can summarize, draft, or answer questions, but they lack context, accountability, and depth of expertise. They are trained on broad data and produce answers that sound plausible, but are not always grounded in the specific knowledge, decisions, and judgment of real experts inside an organization.
Digital Twins change that model entirely.
A Subject Matter Expert Twin represents the institutional knowledge, decisions, artifacts, and reasoning patterns of a specific expert or team. Instead of asking a generic bot for help, an employee interacts with the digital twin of a top solutions consultant, legal expert, product strategist, or industry specialist. The response is no longer a generic AI answer — it is an answer grounded in how that expert actually works, thinks, and delivers outcomes.
This becomes the foundation for higher-quality agents across Andromeda.
As more agents are powered by Digital Twins, discoverability also becomes simpler. Employees no longer need to remember which bot to use for which task. They interact with a single entry point, and the system routes the request to the right SME twin behind the scenes.
The long-term vision is a unified knowledge and agent layer, accessible through a single interface, that:
- Routes questions to the correct Subject Matter Expert twin
- Responds only when confidence thresholds are met
- Grounds every answer in authentic, referenced internal knowledge
- Preserves the voice, judgment, and expertise of real teams
This routing and confidence-gated approach is the essential guardrail that allows agentic systems to scale across GTM without becoming noisy, generic, or untrusted.
In other words, Andromeda is not about deploying more bots. It is about capturing the expertise of the best people in the company and scaling it through Digital Twins.
The next phase: Deeper integration, unified access, and high-impact digital twin agents
The next evolution of Project Andromeda focuses on three core priorities: embedding agents into daily workflows, simplifying how people access them, and introducing new high-leverage agents powered by the Digital Twin.
Deeper integration: from bots to an operating layer
The goal is to move beyond Slack-triggered bots and instead intercept work at the moments it naturally happens. Agents should become part of the operating layer — not tools employees have to remember to invoke.
For example, Account Intelligence is now automatically generated the moment a new account is created in Salesforce. The research is ready before the seller even asks for it.
This same auto-triggering approach will extend to other workflows, ensuring that the right intelligence appears at the right moment — without manual prompts. The shift is from “go ask the bot” to “the agent is already part of the workflow.”
Unified access through a single entry point
As the number of agents grows, discoverability becomes critical. Employees should not need to remember which bot handles which task.
The next phase introduces a single entry point where:
- Users ask for help in one place
- The Digital Twin automatically routes the request to the right specialized agent
- Responses are grounded in the right context and expertise
This unified interface removes friction and significantly improves adoption.
New high-impact agents powered by the digital twin
The next wave of Andromeda agents will focus on the highest-leverage GTM activities, powered by Digital Twins that synthesize internal and external knowledge — transcripts, CRM history, and market signals.
Call prep and contextual intelligence
- Follow-up briefings based on past transcripts, emails, and CRM activity
- Industry-specific playbooks derived from historical conversion patterns
- Executive intelligence aligned to the prospect’s strategic priorities
Sales lifecycle and workflow agents
- Pre-to-post sales handoff summaries capturing context, stakeholders, and purchase drivers
- Multi-modal role-play agents that simulate realistic buyer personas using historical interaction data
These agents are designed to compress the time spent preparing, aligning, and transitioning work across the sales lifecycle.
Closing
For GTM teams, Andromeda is ultimately about compressing cycle time on the work that slows them down — research, narrative creation, RFx assembly, value storytelling, and inspection rhythms — so people can focus on what truly differentiates them: strategy, relationships, and judgment.
Agentic AI is not about replacing humans. It’s about giving them back the time to do their best work.