You, Your Team, and a Little Legion of AI Agents

We help founders, operators, and businesses scale their deep expertise, so they can be more creative, more innovative, and put deeper intelligence to work to outrun the competition.

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10x your team with AI Agents

When the market is moving faster, you need to unlock time for deeper thinking. From marketing to sales outreach to building a company brain, agent teams take on your tasks and complete work to your standards.

  • Accelerating Content Creation

    Copy, Art, Layouts, Captions. It all ships itself.

    The channel count grew and the headcount did not. An agent team writes the brief, then produces the whole set, sized and versioned per channel, on brand and to your creative standards.

    Automation use cases
    • Campaign briefs
    • Asset production
    • Channel versioning
    • Localized variants
    • Launch calendars
    • Performance readouts

  • Scaling Sales Outreach

    Sequencing, Follow-ups, Enrichment, Logging. It all preps itself.

    Dialing, call prep, deal notes crowd out the selling. It’s the homework your quota assumes you already did. Now you can scale it. Agents score and draft, leaving you a ranked list and the reason.

    Automation use cases
    • Lead scoring
    • Record enrichment
    • Pre-call research
    • Follow-up drafting
    • Outbound sequencing
    • Deal review prep

  • Clearing the Support Queue

    Inboxes, Chats, Complaints, Escalations. It all answers itself.

    Support like tickets, refunds, apologies burns goodwill. It’s what people only talk about when it breaks. Now you can clear it. Agents reply and refund, sending you only what needs your judgment.

    Automation use cases
    • Ticket triage
    • First reply
    • Refund requests
    • Escalation routing
    • Complaint handling
    • Live chat coverage

  • Automate Operations Management

    Documentation, Reviews, Compliance, Reconciliation. It all runs itself.

    Operations like hiring, invoicing, onboarding eat up time. It’s the work no one wants to do but has to. Now you can automate it. Agents take on intake and triage, presenting pre-sorted priorities.

    Automation use cases
    • Client onboarding
    • Vendor intake
    • Team onboarding
    • Compliance checks
    • Weekly status reporting
    • Candidate screening

  • Synthetic Personas and Journey Mapping

    Concepts, Creative, Pricing, Messaging. It all tests itself.

    Recruiting panels, moderating, fieldwork take weeks. It’s the check everyone skips. Now you can simulate it. Agents build personas from your evidence, telling you where the idea loses people and why.

    Automation use cases
    • Concept testing
    • Creative pretests
    • Price sensitivity
    • Message testing
    • Segment modeling
    • Friction points

  • Offload Financial Reporting

    Contracts, Receipts, Ledgers, Statements. It all balances itself.

    Finance like coding spend, accruals, month end pile up. It’s invisible until a number lands wrong. Now you can offload it. Agents post and match, handing you a tied-out close pack to sign off on.

    Automation use cases
    • Expense coding
    • Transaction matching
    • Accrual posting
    • Variance commentary
    • Revenue schedules
    • Month end close

  • Org Knowledge Management and Context

    Decisions, Transcripts, Threads, Runbooks. It all writes itself.

    Knowledge like tradeoffs, specs, and policy calls lives only in heads. It’s the thinking everyone repeats. Now you can organize it. Agents file it into the company brain with the reasoning attached.

    Automation use cases
    • Decision logs
    • Meeting capture
    • Spec history
    • Scope change records
    • Launch postmortems
    • Precedent lookups

How We Build Your Legion

Our method moves from the current workflow, through its future state, to agents in production. Tried and tested on Fortune 100 companies and one‑person consultancies.

  1. Discovery

    Map the current workflow and its frictions. Interview the people behind the work, observe the process, and audit the technology.

    Discovery traces each task through the workflow and marks where time is lost: a wait at a handoff between people, a loop back for rework, or data re‑keyed between tools. Most workflow steps are machinery. We isolate the few steps where your real judgment lives.

    • Discovery Worksession
    • Operating-Model & Function Map
    People Process Technology Coordinator Analyst Manager Intake Triage Draft Approve Send Inbox Spreadsheet CRM waits rework re-keyed

  2. Future State Definition

    Define the future-state workflow. Specify the operating model and the technology architecture that workflow needs.

    The future-state workflow sets out each step from intake to shipped work. The operating model assigns intake and drafting to the agent team. The workflow owner approves. The technology architecture defines the agent layer beneath the agent team and specifies every connection from that layer into your existing systems.

    • Future-State Workflow
    • Operating Model
    • Technology Architecture
    People Process Technology Agent team Owner Intake Draft Approve Ship Agent layer Your systems

  3. Prioritization

    Set the build order. Shortlist the workflows Discovery surfaced and align with you on a go or no‑go for each candidate.

    High volume with low judgment isn't agent work.

    We score every candidate workflow on five dimensions: judgment, rule fragility, volume and value, unstructured data and risk. Then we read the profile rather than the total, because a workflow can score well and still be the wrong shape for an agent. Shape wins. Work that doesn't fit goes to conventional automation.

    • Agent Suitability Filter
    • Opportunity Register
    • Go / No-Go Gate
    JudgmentJudgment Rule fragilityFragility Volume & valueVolume Unstructured dataData Risk & safetyRisk Agent‑fit Automate

  4. Build & Refine

    Build the agents in your own accounts. Test and refine each agent against examples you approve, and document the results.

    We wire the agents into a workflow: an orchestrator over a pool of specialists, a shared memory, and a producer and reviewer refining the output in a loop until it holds up. A deterministic gate then ships the work or escalates it to a person. The gate runs on rules, not opinion. Rework re-enters the loop. Nothing goes live until it's cleared the Faithfulness-First Eval.

    • Agent Spec
    • Boundary Test
    • Flow Patterns
    • Faithfulness-First Eval
    Orchestrator Specialist pool Agent Agent Agent Shared memory Producer Reviewer refine Gate pass Ship Human rework

  5. Deploy & Operationalize

    Deploy the legion. Move each agent from testing into production, then transfer its operation to your own team.

    You get the playbook, the frameworks and a Crawl-Walk-Run rollout, and we train your team to run the agents, refine them as the work changes and build the next agent once we're gone. Yours to keep. You end up with a map of what your agents own and what your people own, function by function. The Automation Roadmap tells you what to build after that.

    • The Playbook
    • Crawl-Walk-Run
    • Training & Enablement
    • Automation Roadmap
    The Playbook How each agent runs Frameworks Function Map Suitability Agent Spec Flow Patterns Eval Harness Rollout Maturity ladder Crawl Walk Run Rollout checklist Pick the first function Run it beside the team Hand the playbook over

The Team: Kenan Ali and 1,000 Agents

15+ years turning strategy into brands and products that made it to market. The last three, with AI. Same job, new tools.

Little Legion is Kenan Ali, Senior Director of Enterprise Transformation at Code and Theory, and for 15+ years we've worked in the gap between strategy decks and the work that actually ships at startups and across the Fortune 100. We don't hand over a deck. We build the technical, operational and strategic capacity inside the team, so the work keeps moving after we go. Then we go.

We've led teams across design, engineering, strategy and research and launched and relaunched products in markets around the world, and the lesson every time is that working prototypes and pilots compress months of debate into days of evidence. Teams stop arguing and start deciding. Everyone can finally see the thing they are deciding about. Proof, not persuasion.

Little Legion is an AI-native services firm. One person makes the judgment calls, a standing team of agents does the repeatable work.

Today we help founders, operators, and businesses move AI from strategy decks into production. Weeks, not quarters.

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Kenan Ali, founder of Little Legion
Kenan Ali · Founder, Little Legion
Past clients
"I wanted to take my AI work to the next level and learn how to build agents, which felt pretty overwhelming. Kenan made it understandable and relatable, and walked me through every step. He clearly knows AI inside and out, and he's great at teaching it. The results came fast. Within a few weeks I had agents handling a time-consuming part of my business, and it's drastically cut the time it takes. I can already see how this is going to transform how I work. I can't recommend him enough."
Joe Fucigna, Joe Fucigna Consulting
"Kenan built me a Claude agent that runs my entire COGS and PO workflow. What took a day now runs in one pass."
Umaimah, Founder, Paro
"Kenan made building AI agents feel approachable and genuinely useful for my business. Complex tools feel easy, practical, and immediately impactful."
Olivia Gold, Right Hand Consulting

Where AI Is Taking Expert Work

We write about where AI is taking expert work, and how to stay useful as it does.

Two Ways to Build Your Legion

Both options start with the same 30-minute call. The difference is who holds the keyboard. After that it comes down to how much of the build you want to own, and how much time your team has. Your call.

An agent presenting a finished, running system

Agentic Transformation

The whole build, done for you.

We run all five phases for you, end to end. You end up with a legion already running your work and a team trained to grow it. Then the Automation Roadmap, which tells you what to build next. All yours.

  • Full discovery-to-deployment build, done for you
  • Your team trained, and a playbook they keep
  • The Automation Roadmap, handed over
Start your legion
Two agents co-building at a laptop

1:1 Training / Consulting

You at the keyboard, us alongside.

We build your first agents alongside you on your real work, and teach you our method while we do it. You keep building after we go. Same end state, either way. You're just the one at the keyboard.

  • Your first agents, built together
  • Our method, taught as we go
  • You own and extend the legion without us
Let's talk

Questions

What exactly is an AI agent, and how is it different from ChatGPT or a Zapier automation?

ChatGPT is built for conversation. A Zapier automation runs a fixed path you defined in advance. An agent owns a piece of work. You set it up once with your standards, your files and the way you want the work done, and after that it makes the judgment calls a person would, the same way every time, without you re-explaining. A little legion is a set of these specialists, each running a part of the work you're repeating every week.

What kind of work can actually become an agent, and what should stay with me?

The best candidates are the judgment-heavy things you repeat: the inbound that needs a decision, the numbers that get reconciled, the first pass at research. Purely mechanical steps are cheaper as plain automation. The relationship-driven calls stay with you. We score every workflow before we build anything.

How much does it cost?

Pricing is bespoke. The scope drives it, not a rate card. The engagement can be a single agent built alongside you, or a full transformation with your team trained and the Automation Roadmap handed over. We size it with you on the first call, so you'll know the number before anything starts.

How fast will I have something working?

Weeks, not quarters. The first pilot is deliberately narrow so you get real evidence on your own files quickly, then we widen from there one proven agent at a time, instead of a big-bang rollout that stalls.

How do I know it will do the work to my standard?

Every agent is tested against a gold set of examples you sign off on yourself, before it touches anything real in your business. One question decides it. Did it do the work the way you would, every time, without you re-checking? Nothing goes live until it's cleared that bar. Autonomy is earned, never granted.

What happens when an agent gets something wrong?

An agent is built to flag what it's unsure about rather than guess, and checkpoints keep a person in the loop on the calls that matter. You set how much each agent is allowed to decide on its own, and where it has to stop. Tighten that when trust dips. Loosen it as trust grows.

Is my data safe?

Yes. The agents run on your own accounts, your files, and your environment, so nothing has to leave your walls for this to work. You own the setup and everything it touches.

Do you build the legion for me, or teach me to build it myself?

Either. You don't need to be technical for either one. With Agentic Transformation we run all five phases and hand you a working system with your people trained on it and running it. With 1:1 Training we build alongside you, so you keep going without us. Both ways you walk away with the agents, a written playbook for how each agent runs, and the Automation Roadmap for everything after that.

Let's build your little legion

We start with a 30-minute call. We go through your operating model, your business model and the core functions you run every week. Then a proposal built for what we find. No template.

Let's chat kenan@littlelegion.ai