FuelWorks AI
The Roster

Meet the Digital Workers

The FuelWorks AI roster of digital workers, ready to deploy into your environment. Each one takes ownership of a role, works alongside your team, and improves with every interaction.

A

Archer

Flagship · In production

SRE & Incident Response

The problem

On-call fatigue burns out your best engineers. MTTR creeps up as systems grow more complex, and when a senior engineer leaves, years of incident knowledge walk out the door.

What Archer does

Archer monitors your systems, triages incidents the moment they fire, executes known remediations, and escalates with full context when judgment is needed. Every incident makes Archer sharper.

Outcomes

40%
Faster MTTR
60%
Fewer senior escalations
24/7
Autonomous coverage

How Archer works

A knowledge graph of your systems and past incidents, reflection loops that critique proposed actions before executing, and tool integrations into your observability, paging, and runbook stack.

R

Riley

Available

Technical Recruiting

The problem

Technical recruiting is a grind. Sourcers spend 60-70% of their time on repetitive pipeline work, searching LinkedIn, writing first outreach, qualifying interest, while hiring managers wait weeks for a shortlist.

What Riley does

Riley handles the full recruiting pipeline: sourcing candidates from LinkedIn and GitHub, qualifying against your requirements, writing personalized outreach, managing conversation threads, and scheduling interviews, autonomously handing off qualified candidates to your recruiters for the high-judgment close.

Outcomes

70%
Time saved on pipeline work
3x
More candidates screened per week
24/7
Active sourcing and outreach

How Riley works

Built on a two-loop architecture: an inner AI autonomy loop (generate, evaluate, learn, regenerate) and an outer human oversight loop (review, approve, provide feedback). Riley adapts to your methodology through feedback, not rigid configuration.

C

Carmen

Available

Data Analysis & Reporting

The problem

Operational data is scattered across tools, and turning it into a decision-ready answer means someone living in a spreadsheet every week.

What Carmen does

Carmen charts your operational data into a navigable model and turns it into scheduled, decision-ready reports, so the numbers are current and trustworthy without a human in the spreadsheet.

Outcomes

90%
Less manual reporting
1
Trusted source of truth
Minutes
From question to insight
D

Dewey

Available

Document Processing & Knowledge

The problem

Critical knowledge is buried in contracts, tickets, wikis, and PDFs. Finding the right answer means pinging the one person who knows, and onboarding takes forever.

What Dewey does

Dewey ingests, classifies, and connects your documents into one knowledge graph, so any worker or teammate can pull an accurate, cited answer in seconds instead of hours.

Outcomes

Seconds
To a cited answer
1
Connected knowledge base
Zero
Knowledge lost to turnover
M

Mason

Available

Engineering Assistance

The problem

Onboarding is slow, tribal knowledge is undocumented, and senior engineers burn hours answering the same questions and writing boilerplate.

What Mason does

Mason is grounded in your repositories, runbooks, and architecture, drafts PRs, writes tests, and answers codebase questions with citations, so your team ships instead of context-switching.

Outcomes

30%
Less time on boilerplate
2x
Faster onboarding
24/7
Codebase Q&A
P

Posey

New

RFP & Proposal Response

The problem

Every RFP is a fire drill. Subject-matter experts get pulled off their work, deadlines slip, and answers come out inconsistent and off-brand.

What Posey does

Posey drafts RFP and proposal responses from your knowledge base, past proposals, and product docs, keeping answers accurate, consistent, and on-brand, with your team reviewing and approving before anything ships.

Outcomes

5x
Faster first draft
100%
From approved sources
More
RFPs answered, on time
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