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Pegasus Agentic OS
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Enterprise AI transformation · Agentic AI

Enterprise AI transformation, from pilots to production.

Pegasus finds where AI pays back across your enterprise, fixes the data and process underneath it, and puts governed agents into production inside your own stack: across revenue, operations, finance, legal, risk and compliance, people and customer service.

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  • Built in your stack, owned by you
  • Sharper every week
  • Written scope before any build

Built inside the tools you already run, in every department, and on the AI stack your engineers trust

Business systems: revenue, finance, people, service, IT, legal and data

  • Salesforce
  • HubSpot
  • SAP
  • Oracle NetSuite
  • Workday
  • ServiceNow
  • Zendesk
  • Jira
  • Microsoft 365
  • Google Workspace
  • Slack
  • Snowflake
  • Databricks
  • Rippling
  • DocuSign
  • Ironclad
  • Coupa
  • Zoho
  • Workato
  • UiPath
  • n8n

AI engineering: models, agent frameworks, vector stores, evaluation and deployment

  • OpenAI
  • Anthropic
  • Google Gemini
  • Amazon Bedrock
  • Azure AI Foundry
  • Vertex AI
  • Mistral
  • Meta Llama
  • LangGraph
  • LlamaIndex
  • Hugging Face
  • Pinecone
  • Weaviate
  • MongoDB
  • PostgreSQL
  • Langfuse
  • Weights & Biases
  • GitHub
  • Docker
  • Kubernetes
  • ElevenLabs

Tools we work in, not partnerships. We take no referral fees, so our recommendations stay independent.

One programme, every function

AI transformation is not a sales project or an IT project. The same foundations, controls and agents work across the enterprise, including the legal, risk and audit teams who sign it off.

  • Revenue

    Sales, marketing and customer success

    First agents: Account research, inbound qualification, CRM hygiene, renewal prep.

  • Operations

    Orders, fulfilment and supply chain

    First agents: Document and order intake, exception triage, supplier follow-up.

  • Finance

    Payables, receivables, close and reporting

    First agents: Invoice matching, collections follow-up, variance commentary.

  • People

    HR, recruiting and onboarding

    First agents: Policy answers, interview notes, onboarding follow-through.

  • Customer service

    Support and service desks

    First agents: Ticket triage, replies drafted from approved content, escalation summaries.

  • IT and knowledge

    Systems, security and internal knowledge

    First agents: Search across documents with permissions respected, access requests, security questionnaires.

  • Legal

    Contracts, matters and obligations

    First agents: Contract first reads against your playbook, clause comparison, obligation and renewal tracking.

  • Risk and compliance

    Policy, regulatory change and controls

    First agents: Policy pre-checks on outgoing material, regulatory change summaries, control monitoring.

  • Internal audit

    Assurance over controls and processes

    First agents: Evidence collection, sample testing, exceptions logged with the full audit trail.

Every agent drafts, checks or flags. A named person approves anything that matters, and every run is logged.

Sound familiar?

Pick your role and tick what is true for you. We will bring a plan for the biggest one to the call.

For CEOs, COOs and business unit leaders

0of 16 tickedTick the ones that are true for you, in any role.

Book a call with these in the briefNot ready? See the difference on one workflow ↓

Pegasus Agentic OS

Six layers, built inside your stack and improved every week. A framework you own, not a platform you rent.

Pegasus Agentic OS: six layersSix layers built inside your stack: Signal (Sense): Know what needs attention, and why now; Context (Unify): One current record for every customer and supplier; Agents (Execute): AI agents do the busywork, people make the calls; Flow (Orchestrate): Every request moves to the right owner, on a clock; Pulse (Measure): One number per team that everyone trusts; Loop (Improve): Every system evaluated and sharpened every week. The Loop layer feeds improvements back into Signal every week.1SignalSenseKnow what needs attention, and why nowData and AI Foundations2ContextUnifyOne current record for every customer and supplierData and AI Foundations3AgentsExecuteAI agents do the busywork, people make the callsAI Transformation4FlowOrchestrateEvery request moves to the right owner, on a clockIntelligent Automation5PulseMeasureOne number per team that everyone trustsData and AI Foundations6LoopImproveEvery system evaluated and sharpened every weekPegasus RunweeklyOne AI Transformation programme, built inside your ERP, CRM, data and TeamsPegasus Agentic OS: six layersSix layers built inside your stack: Signal (Sense): Know what needs attention, and why now; Context (Unify): One current record for every customer and supplier; Agents (Execute): AI agents do the busywork, people make the calls; Flow (Orchestrate): Every request moves to the right owner, on a clock; Pulse (Measure): One number per team that everyone trusts; Loop (Improve): Every system evaluated and sharpened every week. The Loop layer feeds improvements back into Signal every week.1SignalSenseKnow what needs attention, and why now2ContextUnifyOne current record for every customerand supplier3AgentsExecuteAI agents do the busywork, people make thecalls4FlowOrchestrateEvery request moves to the right owner,on a clock5PulseMeasureOne number per team that everyone trusts6LoopImproveEvery system evaluated and sharpened everyweekOne AI Transformation programme,built inside your stack
Explore Agentic OSBook a call

The difference, on one workflow

One finance workflow, before and after: a supplier invoice becoming an approved payment, today, in week one, and twelve weeks in.

  1. Step 1Invoice arrives AutomatedLands in a shared payables inbox
  2. Step 2Match HumanA clerk keys and matches it by hand
  3. Step 3Check exceptions HumanFound at month-end, if at all
  4. Step 4Approve HumanThe approver chases an email thread
  5. Step 5Post and record HumanPosted later; the trail sits in inboxes
–Time from invoice to approvalToday’s baseline
–Invoices matched without keyingToday’s baseline
–Finance minutes per invoiceToday’s baseline
–Invoices with a complete audit trailToday’s baseline

A typical finance workflow. Your own baseline and targets are measured in the AI transformation review.

How a Pegasus AI system fits together

Your data comes in from wherever it lives. What we build unifies it, retrieves the right context, applies your rules and hands the work to agents. The results land in the tools your team already works in.

How a Pegasus system fits togetherFive sources (CRM and ERP, Documents and email, Ticketing and HR, Market signals, Spreadsheets) feed a system Pegasus builds in your stack: unify, enrich, score, route and AI agents, with orchestration and documentation. Results land in Systems, updated, Sequencer, People and customers, Slack and Teams, Dashboards.Where your data livesWhat Pegasus buildsWhere it landsCRM and ERPcustomers, orders, invoicesDocuments and emailcontracts, forms, inboxesTicketing and HRrequests, cases, peopleMarket signalsusage, risk, market eventsSpreadsheetspartner and team filesSystems, updatedERP, CRM, HR, ticketingApprovalsa named person signs offPeople and customersreplies, updates, documentsSlack and Teamsowner and deadlineDashboardsresults by functionRuns in your stack · documented · yoursUnifyone record per customer, supplier, employeeRetrievedocuments and context, permissions keptDeciderules your team can readRouteright owner, response clockAI agentsdraft, check and act, reviewed by peopleOrchestration: workflows, alerts, logsHow a Pegasus system fits togetherFive sources (CRM and ERP, Documents and email, Ticketing and HR, Market signals, Spreadsheets) feed a system Pegasus builds in your stack: unify, enrich, score, route and AI agents, with orchestration and documentation. Results land in Systems, updated, Sequencer, People and customers, Slack and Teams, Dashboards.Where your data livesCRM and ERPDocuments andemailTicketing and HRMarket signalsSpreadsheetsWhat Pegasus buildsUnifyone record per customer, supplier, employeeRetrievedocuments and context, permissions keptDeciderules your team can readRouteright owner, response clockAI agentsdraft, check and act, reviewed by peopleOrchestration: workflows, alerts, logsWhere it landsSystems, updatedApprovalsPeople and customersSlack and TeamsDashboards

Built as code

Every agent is code you own

Each agent we build is written down: config your team can read, code in your repository, and queries anyone can re-run. When we hand over, nothing lives in one person's head or one vendor's account.

  • Versioned, so every change has an author and a reason
  • Documented, with a runbook for when a step fails
  • Portable across model providers, clouds and systems
Explore AI TransformationExplore Agentic OS
# Invoice matching agent · financeagent: invoice-matchingtrigger: new_invoice_receivedreads: [erp.purchase_orders, erp.receipts, inbox.ap]does:  - match invoice to order and receipt  - flag price or quantity gapswrites: draft_match_to_erpreview:  required_for: [mismatch, over_5000]  approver: finance_leadnever: [pay_invoice, change_supplier_details]logged: every_runmodel: approved_provider  # your region, your keyseval: weekly  # test set from your real invoices
Lives in your repoRuns in your toolsHanded over, documented

Your brief goes to the booking page so the first call starts from it.

AI agents

Agents that do the busywork, with a person in the loop

Invoice matching, first reads of contracts, policy checks, audit evidence, ticket triage and research before calls. Each agent works inside your tools, shows its sources, and hands anything that matters to a person.

See the agentsBook a call
How every Pegasus agent runsA trigger starts the agent. It reads your systems, documents, policies and public sources, then produces a draft or proposed action. A person approves, edits or rejects it. The result is written back to your systems and logged, and a weekly evaluation on real cases feeds back into the agent.Triggeran invoice, a contract,a ticketAgent worksreads your systems,documents and policiesDraft or actiona match, a redline,a replyHuman reviewapprove, edit or rejectWrite back and logsystems updated, every steprecordedEvaluateweekly, on a test set built from your real casesNothing important leaves without a person seeing it. Every run is logged and measured.How every Pegasus agent runsA trigger starts the agent. It reads your systems, documents, policies and public sources, then produces a draft or proposed action. A person approves, edits or rejects it. The result is written back to your systems and logged, and a weekly evaluation on real cases feeds back into the agent.Triggeran invoice, a contract, a ticketAgent worksreads your systems, documents and policiesDraft or actiona match, a redline, a replyHuman reviewapprove, edit or rejectWrite back and logsystems updated, every step recordedEvaluateweekly, on your real casesNothing important leaves withouta person seeing it.
  • Approved by a person before anything reaches a customer
  • Every run logged, every agent measured on your real cases
  • Runs on the model provider your security team approves

Enterprise AI, shaped to your industry

The programme is the same everywhere. The workflows, rules and regulators are not.

Manufacturing and industrial

AI for quoting, suppliers, invoices, distributors and quality, approved by a person.

Explore manufacturing

Banking, fintech and payments

AI for onboarding, KYC and AML reviews, disputes and customer service, with an audit trail on every action.

Explore banking and payments

Insurance and brokers

AI for claims intake, underwriting submissions, renewals and policyholder service, with people deciding.

Explore insurance

Healthcare providers

AI for patient access, claims, prior authorisation and care operations, with clinicians in control.

Explore healthcare

Retail and e-commerce

AI for customer service, product content, demand forecasting and store operations.

Explore retail

Logistics and supply chain

AI for shipment exceptions, freight audit, documents and quotes, approved by a person.

Explore logistics

Energy, utilities and renewables

AI for asset maintenance, field crews, customer queries and regulatory reporting, approved by a person.

Explore energy

Technology, SaaS and media

AI for support, security questionnaires, contracts, churn and always-on ABM.

Explore technology

See all 19 industries

What we do

AI Transformation is the programme. The foundations, the builds and the revenue work are how it gets done, and you can start with any of them.

AI Transformation

The programme: we find where AI pays back, fix the foundations and put governed agents into production across your enterprise.

  • Roadmap with a business case
  • Governed agents in production
  • Training and adoption
Explore AI Transformation

Foundations

The data, systems, infrastructure and controls AI depends on, set up so your risk teams can sign them off.

  • Data and AI Foundations
  • Business Systems
  • Cloud and AI Infrastructure
  • Security, Privacy and AI Governance
Explore foundations

Build

Where the work changes: automation and agents in your processes, AI for customers, products and operations, and a website AI can read.

  • Intelligent Automation
  • Conversational and Voice AI
  • Web Transformation
  • AI Product Engineering
  • Industrial AI and IoT
Explore build

Revenue agents

Where agents act for sales and marketing: one CRM record they can trust, and always-on account-based marketing that books meetings.

  • Revenue Operations
  • GTM Engineering
Explore revenue agents

How an engagement runs

The same four steps whatever we build. The first one is small, fixed-fee and useful on its own.

How an engagement runsFour steps: a fixed-fee review, a signed scope, a build in weekly releases inside your tools, and a handover of documentation, training and admin access. Ongoing support is optional.1ReviewFixed feeWritten findings on yourstack, data and process.Yours whether or not you hireus.2ScopeSigned firstWhat we build, what we donot, which tools it touches,and who owns each part.3BuildWeekly releasesInside your tools. The oldway keeps running until thenew flow is proven.4Hand overYoursDocumentation, recordedtraining, and admin access inyour name.Optional: ongoing support, published hours, cancellableHow an engagement runsFour steps: a fixed-fee review, a signed scope, a build in weekly releases inside your tools, and a handover of documentation, training and admin access. Ongoing support is optional.1ReviewFixed feeWritten findings on your stack, data andprocess. Yours whether or not you hire us.2ScopeSigned firstWhat we build, what we do not, which tools ittouches, and who owns each part.3BuildWeekly releasesInside your tools. The old way keeps runninguntil the new flow is proven.4Hand overYoursDocumentation, recorded training, and adminaccess in your name.Then optional ongoing support, cancellable

Questions we get on most calls

What is Pegasus Agentic OS?

The framework behind everything we build: six layers, Signal, Context, Agents, Flow, Pulse and Loop, built inside your own tools and improved every week. It is not software to license; you own what we build.

How is AI Transformation different from buying an AI tool?

A tool gives you one capability. AI Transformation decides where AI pays back, fixes the data and systems it depends on, puts governed agents into production across functions, and measures each one against a baseline. Tools are part of it, chosen to fit your stack.

Do we have to change our CRM?

No. We build inside HubSpot or Salesforce, and Zoho or Attio, as you run them today. If the CRM genuinely is the problem, we will say so and show why, and a move is scoped separately.

Which tools do you work with?

The ones you already pay for, first. Where there is a real gap we recommend a tool, explain why, and you hold the contract, not us.

Who owns what you build?

You do. Workflows, code, documentation and admin access are handed over. Nothing depends on an account only we can log in to.

What do your AI agents actually do?

Work across the enterprise. In revenue, for example: research before calls, first answers to inbound enquiries, CRM clean-up, call notes, renewal prep, churn alerts and competitor watch. Anything sent to a customer or any risky change is approved by a person, and every run is logged.

How does an engagement start?

With a fixed-fee AI transformation review. You get a written view of what is working, what is leaking and what we would build first, and you keep it whether or not you hire us.

Are the examples on this page real clients?

No. The companies and people in the product examples are invented to show what each system looks like. Real engagements are published on the case studies page with the client's permission.

Find your path through Pegasus

Six people usually sign off on enterprise AI. Pick yours and we show you what to read, in order, and what to ask us.

Executive sponsorCEO, COO, business unit headTransformation leadChief AI, digital or transformation officerTechnology ownerCIO, CTO, head of data, enterprise architectLegal, risk and auditGeneral counsel, CRO, CISO, internal auditFunctional leaderRevenue, finance, people, operations or service leadProcurementProcurement, vendor management, PMO

AI transformation for the agentic engine era

Start with a fixed-fee AI transformation review. We map your systems, data and teams against the six layers of Pegasus Agentic OS and name the first workflows to hand to agents. You keep the findings whether or not you work with us.

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