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A copywriting agent that writes on-brand ads from a brief: it knows your brand guide, a compliance reviewer checks claims against your ad policy, and an attached workflow checks character limits and…
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Camaan Marketplace
One engine. Knowledge we package on top: offers built once for a process, a team, a platform and an industry, installed into your organisation and yours to change.
Agents, workflows, reports and apps, ready to install.
Built once, run on your platformEach platform gets its own native build, tested against the same cases.
Browse by what you run
Pick the process, the team, the platform and the industry. Every offer is described along the same four lines, so you can find what fits and compare like with like.
Find offers for that serve on in
23 offers in the marketplace
A copywriting agent that writes on-brand ads from a brief: it knows your brand guide, a compliance reviewer checks claims against your ad policy, and an attached workflow checks character limits and…
Works out what a campaign really returned: pulls spend from your ad platforms and attributed pipeline and revenue from the CRM, calculates ROI, ROAS, CAC and payback in code under your attribution…
Maps a new source system's table onto your canonical data model: profiles the data, proposes every field's mapping with a confidence and a reason, checks required-field coverage, and publishes only…
Migrates a COBOL program to a modern language the safe way: inventories it and its copybooks, sends constructs like CICS or ALTER to an architect, translates with your migration rules, and proves the…
Tests a control the way an auditor would: a repeatable risk-based sample, evidence collected item by item, each item judged against the control objective, and a workpaper written - with every…
A diet coach patients can talk to: it knows their targets, conditions, allergies and preferences, reviews their food log, and builds weekly meal plans through an attached workflow that checks…
Reads a counterparty's completed due diligence questionnaire, checks the answers against your risk policy while screening for adverse information, scores the risk with cited drivers, and routes it -…
Picks up a failed provisioning job, finds the root cause from logs and live state, and fixes it - automatically when the fix is on your safe list and low risk, otherwise after an operator approves…
Optimises Google Ads every day: finds wasted search terms, campaigns over target CPA and budget-limited winners with rules in code, proposes bid, budget and negative-keyword changes with reasons…
Classifies every new incident, finds duplicates and the change that probably caused it, pages the on-call lead for P1s with a timeout escalation, and assigns the rest.
A voice agent for your service line that answers in the caller's language, finds their account, checks known outages, logs requests, and - through an attached wrap-up workflow - books a human…
Checks a new customer's onboarding file end to end: extracts the details from the documents, verifies identity and screens sanctions alongside a policy check, and routes the file - approve, ask the…
Finds revenue that leaks between order and cash: matches every delivery to its order and invoice in code (not by guesswork), flags unbilled deliveries, under-billing and unexplained credits, explains…
An internal policy assistant that answers only from your policies, cites them, and knows when it cannot answer: a specialist checks the exact wording, and an attached workflow drafts what it can and…
Checks every new e-prescription before a pharmacist verifies it: allergies, interactions, duplicate therapy and dose limits against the patient's chart and your formulary.
Responds to a plant process deviation the way a good shift engineer would: confirms it against the limits, reads the trend, asset state and your SOP, recommends a correction, applies small ones…
A video producer agent that turns a short brief, and optionally a product photo, into a finished narrated video: it writes the script, voices every scene with the platform's text-to-speech, builds 3D…
Drafts a periodic regulatory return from the ledger and the regulator's own instructions, checks every line against last period and the validation rules, and files it as a draft only after the…
A weekly forecast you can explain: pulls the open pipeline and your own historical stage win rates, computes the forecast in code with a discount for stale deals, gives commit and best-case ranges…
Plans a greenfield city from its land data and draws the plan on a map: a housing grid on buildable land, water tanks on high ground where pumping is least, the sewage treatment plant on low ground…
When a supplier or site goes down, walks the supply graph to every part, product and customer order that depends on it, checks stock cover in parallel, quantifies days short and revenue at risk, and…
Writes the tests a pull request is missing: reads the change and your testing conventions, plans the tests, writes them on a branch, runs them in CI, and comments with the coverage gain - failing…
Handles every new lab result: flags values against reference and critical ranges in code, pages the clinician immediately for a critical value, and drafts a plain-language explanation for the patient…
Nothing matches yet. Tell us the process and platform, and we will build it with you: talk to us.
The model
The engine is the same for every customer. What makes an offer useful is knowledge: of an industry, a process, the people who run it and the system it runs on, delivered at the depth you need.
The entities, terms and rules of one industry.
How an end-to-end value stream runs, across industries. Based on APQC's process framework.
A crew of agents for one group of people. One process can need several.
A native fit to the system of record you already own. Swap it, and the knowledge on top stays the same.
The same core, used as it is, configured to your rules, or tailored to how you work.
An offer is one intersection: Order to Cash for Operations on NetSuite, at the Ready edition. We build each intersection once, and offer it on every platform we fit.

What you install
Installing an offer adds its agents, workflows, report and app to your organisation, wired to each other, and asks for a connection to each system it uses: one you have, or a new one.
Same offer, every platform
The Order-to-Cash Revenue Leakage Monitor matches every delivery to its order and invoice, flags what was delivered but not billed, and raises recovery once finance agrees. It runs on NetSuite today. The SAP S/4HANA build reads SAP's own sales, delivery and billing services and raises debit memo requests on billing block.
Each platform is its own build, not a translation layer. Both share one evaluation suite, case for case, and a platform build is listed only once that suite passes against a live system. The SAP build is in that validation now.

Editions
Each edition adds a layer around the same core, so you can start small and go deeper without starting again.
The standard offer, installed as it is, with its settings asked at install. Often the first step.
Your settings, rules, approvers and data mapping, set at install or by our engineers with you.
Logic built only for you, by Relevance Lab's delivery team, on the same core. Often a large enterprise.
Why packaged offers
Enterprise AI is moving from pilots to programmes. Most pilots never show a return, and most custom agent projects don't survive. Named offers with proof do.
of generative AI pilots showed no measurable profit-and-loss impact.
Packaged offers with proof, not open-ended pilots.MIT NANDA, The GenAI Divide, Aug 2025 · sourceof agentic AI projects will be cancelled by the end of 2027, for cost, unclear value or weak risk controls.
Rules per action and a signed record, from day one.Gartner, June 2025 · sourceof enterprises will abandon agentic AI built for them by vendors' forward-deployed engineers by 2028. Under 20% of those engagements turn recurring needs into product.
Offers built once, and a layer you own.Gartner, September 2026 · sourcespent on generative AI by enterprises in 2025, about three times 2024.
Buyers want offers they can buy, not projects.Menlo Ventures, Dec 2025 · sourceAlongside the platforms you own
Camaan works across your systems rather than instead of them. An offer fills the gaps in the platform you already run, and agents pass work to and from it, so you keep your investment and your budget stays with the programme it belongs to.
ServiceNow, SAP or Salesforce is one system among many. Camaan connects it to everything else.
Industry and process knowledge that makes agents useful on day one.
Installed offers are copies in your organisation. Change them, extend them, keep them.
Partners and in-house teams publish their own offers, described the same way, governed the same way.
Keep ServiceNow for what it does best. Camaan connects it to everything else, and brings your industry's knowledge to it.
Read how we think about packaging agents: One engine, knowledge on top