# Firia · Full content export > This file is the canonical text export of every page on firia.ai, intended for LLM crawlers and indexers. For interactive use, visit https://firia.ai. Firia builds custom AI agents that run inside growing companies: finance, operations, sales, support, and customer experience. Built by operators and engineers from Microsoft, Goldman Sachs, KKR, and StepStone. Last updated: 2026-07-16 · Contact: team@firia.ai · Book: https://calendly.com/team-firia/discovery --- ## Page: Home · https://firia.ai/ The team you didn't hire. Firia builds AI agents that run finance, ops, and customer experience inside your business. On your stack, in your repo, with your approvals. First one in production in thirty days. ### What the agents do (illustrative console) - A Finance agent posts a morning brief to Slack at 06:00 daily: cash position across accounts, receivables past 45 days flagged with follow-ups drafted for approval, spend variance against plan. - A weekly flags panel surfaces what needs a human decision: overdue invoices, deals quiet 7+ days, spend over plan. - Agents return measurable hours weekly across finance (close, cash, variance), support (triage, resolution), and ops (vendors, workflows). ### Stop running the company on a hunch Agents work inside the real systems, so answers come back with numbers attached. Instead of "the close feels slow," the agent knows: how many days the close ran last quarter, what percentage is waiting on AR matching, and which workflows cover it. ### How it works 1. It learns your business before it touches anything. Every agent reads and writes to one organizational memory: how the company runs, who approves what, which exceptions are real. Your second agent arrives knowing what the first one learned. 2. Then it does the work, all night, every night. Not suggestions: finished work. Reconciled books, resolved tickets, groomed pipeline, drafted follow-ups. The team arrives to a readout, not a backlog. 3. You stay the boss. Agents propose, you approve. Anything customer-facing or money-moving waits for a human. Every step is logged, reviewable, and reversible. ### The digital twin As the agents work, Firia keeps a current picture of how the company actually runs: every workflow, every handoff, every exception. Zoom from the whole operation down to a single stuck invoice. It refreshes as the organization evolves, so leadership sees how work actually happens, not how the org chart says it should. Full coverage across every department, and hidden dependencies (the handoffs and workarounds nobody wrote down) become visible and fixable. ### Key numbers - 30 days to the first agent in production - 3 agents typically running by day ninety - 2 sessions on us, before any commitment ### Security Serious security, no exceptions. Firia runs inside your infrastructure, on your auth, with every action logged and reviewable. The models are tuned on your preferences, your rules, and your stack, and you own them. Your data never trains anyone else's models. - Runs in your infrastructure: your cloud, your auth, your audit trail. Nothing leaves your stack. - Encrypted at rest and in transit; credentials and keys stay under your control. - Your models are yours: tuned on your preferences and your stack, owned by you, in your repo. - On-demand deletion: engagement data removed whenever you say so. - Works inside your stack: QuickBooks, Stripe, Ramp, Plaid, Slack, Salesforce, HubSpot, Notion, Intercom, Claude, OpenAI, and whatever else you run. - Secured by Oathe.ai and Google. ### Who this is for - CEO / Founder: your week disappears into work you didn't start the company to do. Past the founder-does-everything stage, with a real team and no time to run an AI initiative yourself. - CFO / COO: the numbers should arrive by themselves. A continuous close, a cash brief every morning, and a variance flag before it becomes a board question. - Head of Ops: you already know what should be automated. You need someone to build it properly: on your stack, with approvals, without a twelve-month program. --- ## Page: What We Build · https://firia.ai/what-we-build Custom agents on your stack. Shipped in thirty days. ### Case studies: the agents that run Firia Firia runs its own company on the agents it sells. - Scout, our lead intelligence agent (Sales): watches every inbound lead, enriches it, scores it against our ICP, and posts the brief to Slack before anyone has opened the email. Every deal conversation starts with Scout's read. Runs Firia's own pipeline, every day. - Rudy, our engineering agent (Engineering): ships production code across our builds. Scoped tickets in, reviewed pull requests out. Every change tested, logged, and reviewed before it lands. Commits to Firia repos daily. - Athena, our research agent (Research): reads the market so we don't have to. Prospect research, competitor moves, industry shifts, compiled into morning briefs the team actually reads. Briefs the founders every morning. ### The agent roster, by function Every engagement is custom. These are where agents pay back fastest. - Finance: Cash & Runway (a continuously-updated view of finances: cash position, AR aging, what's shifted, no close cycles or manual pulls; QuickBooks, Stripe, Plaid, Ramp) and Monthly Reporting (drafts the monthly report for investors or board with KPIs and variance pulled in; you edit and hit send). - Sales: Pipeline Hygiene (watches every deal, flags drift and 7-day silences, drafts the next-best message per rep; Salesforce, HubSpot, Gong) and Account Intelligence (picks the accounts to work this week on your scoring model, surfaced in Slack or the CRM). - Marketing: Attribution & ROAS (reconciles spend, revenue, and incrementality in real time and turns it into decisions; Meta, Google, Klaviyo, Triple Whale) and Content Production (drafts in your editorial voice from your past work). - Operations: Vendor & Contract (tracks every vendor, renewal, and redline; surfaces contracts sixty days before auto-renewal) and Workflow Automation (captures workflows that live in someone's head and runs them, handling exceptions instead of breaking). - Support: Inbound Triage (reads every ticket, resolves what the help docs cover, escalates the rest with context) and Voice of Customer (pulls themes, churn signals, and feature requests into a weekly digest). - In-product: In-Product AI Features (AI features inside your own app, on your data and stack) and Agent-to-Agent Endpoints (a clean, reliable surface for the agents your customers will start sending; secured by Google and Oathe.ai). ### You have five options 1. Buy it (Copilot, Glean, the next vertical AI tool): fast to deploy, generic by design. None of these tools read your P&L or know your customer, and the second the workflow gets messy a human is back in the loop. 2. Build it (in-house engineering): you can do it. It will take a year, two senior hires, and a constant rewrite as the model layer moves. 3. Outsource it (McKinsey, Accenture, the hourly bill): you get a strategy memo and a workshop. Nothing ships. 4. Ignore it: your competitors are not waiting. Every quarter you sit out, the gap in operating leverage compounds. 5. Firia: a small embedded team of engineers and operators. Our co-founders sit inside your business for a few weeks, learn how things actually work, and ship the first agent in thirty days. Everything we build is yours to keep: code, prompts, models, integrations, in your repo. ### FAQ Q: What does it cost? A: Scoped to what we design together in the first sessions. You'll have the full picture before you commit to anything, and the sessions themselves are on us. Q: Do we own what you build? A: Yes. Code, prompts, models, integrations. All yours, in your repo, on your infrastructure. No SaaS lock-in. Q: How is my data secured? A: Firia runs inside your infrastructure, on your auth, with every action logged and reviewable. Data is encrypted at rest and in transit, your data never trains anyone else's models, and engagement data is deleted whenever you say. Security is layered with Oathe.ai and Google. Q: Which models? A: Whatever fits the job. Claude, GPT, Gemini, or open-weights. Builds often use multiple models. We take no referral fees from any provider. Q: How long until something ships? A: First agent in production within thirty days of kickoff. Full stack takes 60 to 120 days depending on integration count. Q: After the build? A: We stay on for a quarter to tune. After that you can keep us on retainer or take it in-house. Either works for us. Q: How do you handle security and reliability? A: Agents run inside your infrastructure with your auth and your audit trail. We partner with Oathe.ai on reliability: redteaming, prompt-injection guards, output policies, and full conversation logging. Nothing leaves your stack for a third-party database. --- ## Page: Process · https://firia.ai/process We work for free first. One session, on us. You bring an hour and whoever knows the operation best. We bring everything else. ### The first session, on us (Learn) You bring one hour and the person who knows the operation best. We do the rest: mapping where the time goes, what your people already use AI for, and what it's costing you. Then comes the plan session: a plan specific to your business, what gets built or taught first, in what order, on your stack, with the integrations mapped. For some companies that starts with training their people (see Workshops); for others, agents in production next month. Plenty of firms promise this call. The difference is what you're holding when it ends: a plan detailed enough to hand to any engineering team. Yours to keep either way. Then you decide. Build with us, take it in-house, or don't. ### If it's a yes, we build it for you (Build) Not a roadmap you have to staff. We do the building, and you don't project-manage a thing. - Days 1 to 10: two of us sit inside your business and start building. Your team keeps doing their jobs. - Days 11 to 30: your first agent ships into production, tuned on your real workflows, handed to your team working. - Days 31 to 90: second and third agents go in. The hours start coming back every week. ### Then it runs, with you in charge (Run) Agents propose, you approve. Anything customer-facing or money-moving waits for a human, and every action lands in an audit trail your team can read. --- ## Page: Workshops · https://firia.ai/workshops From first prompt to multi-agent systems. Some teams need everyone set up on Claude and using it well by Friday. Others already run skills and evals and want multi-agent loops, RAG, deeper automation. Every program is composed for your people and the work they already do. Led by an ex-Microsoft GenAI lead with several patents in multi-agent systems. No two programs are the same: composition depends on headcount, what the team already does with AI, and the goal. Every session is hands-on. Participants work on their own tasks, in their own tools, so what they learn on Tuesday is in use by Thursday. Delivered onsite or remote, over a few weeks. ### What the workshops cover - Getting started: team onboarding onto Claude and Codex · bring-your-own-workflows (each participant brings a real recurring task and leaves with it about 30% faster) · quality control and evals in plain English - Advanced: multi-agent systems (agent loops, orchestration, handoffs) · retrieval (RAG and graph RAG) · workflow library (the team's strongest workflows turned into shared assets) - For leadership: executive sessions on where AI fits the organization · an automation roadmap of what to scale next Pricing is composed per engagement on a scoping call. The workshops stand on their own; teams that want the next layer (shared library, organizational memory, agents in production) work with Firia on the build side. --- ## Page: Fractional CFO · https://firia.ai/finance Senior CFO leadership, without the full-time hire. Firia's CFOs run the finance function for companies doing $3M to $25M in revenue: the operating model, the reporting, the cash forecast, the board pack. The team trained at Goldman Sachs, KKR and StepStone. Decision-grade by day 30. - Entry point: The Diagnostic, a two-week books-and-model review for $7,500, credited in full against the first three retainer months. Findings memo and 12-month plan in 14 days. - Retainers: three tiers (Operate, Scale, Capital) from $4,500 a month. Three-month minimum, then month to month. - Compared to a full-time hire: a full-time CFO at this level typically runs $300,000 a year or more, fully loaded, before equity. - The models, dashboards, and board packs are assembled by the same AI infrastructure Firia builds for clients; every number is reviewed by a senior operator. Intake is capped at two new clients a month. --- ## Page: White-Label Team · https://firia.ai/whitelabel Your agency's white-label AI automation team. Vetted AI builders and automation engineers under one dedicated lead, matched to your agency in 48 hours. Clients see your brand; Firia stays invisible. Elastic capacity that scales up or down monthly with your pipeline, no contracts. Track record: 200+ marketing teams and agencies served, 10,000+ tasks delivered, 91% of Trustpilot reviews are 5-star. --- ## Page: The Thesis · https://firia.ai/agent-economy The agent economy already started. For most of the last decade, "AI in the business" meant a SaaS tool with a chatbot bolted on. That stopped being true in 2025: models became cheap, reliable, and tool-using enough to build software that does the work end to end. Three curves crossed in twelve months: frontier model cost per task dropped an order of magnitude, tool-use became production-reliable, and the integration layer became agent-navigable. Three things every business ends up needing: 1. A finance agent that operates like an institutional investor: cash position read daily, variance flagged inside 24 hours, investor updates drafted automatically. 2. The team you didn't hire: agents in Slack, the CRM, and the help desk that absorb about a third of the team's week. The compounding comes from agents that know the business, not off-the-shelf tools. 3. An external layer: your business made legible to other agents. Inside twelve months your customers will send agents to read your pricing, compare your product, and book meetings. Companies without a clean structured surface get routed around, the way un-indexed sites were in 2003. Evidence the model picks winners: Stack Overflow's 2025 survey put Supabase at 6% adoption among all developers; Supabase's own October 2025 data put it at 55% in the latest Y Combinator batch, a 9x skew driven by AI-native tooling defaults. The next frontier models are training on what's publicly indexable today; if your business surface is legible to agents now, the next models will know how to interact with you. --- ## Page: Apply · https://firia.ai/apply Tell us what's broken. We'll tell you if we can fix it. If you're past the founder-does-everything stage and have a real team, you're probably the right fit. The form takes a minute (name, email, phone, revenue band, sector, biggest time-sink). If you qualify, the next page is the calendar. Every submission is read personally; everything sent is confidential and never used for training or any vendor's database. Qualified leads route straight to https://calendly.com/team-firia/discovery Contact: team@firia.ai