1
Create
- Import
- Search
- Generate
AI-Assisted Platform Operations
Fully Agentic
Fully Agentic
Developer Platform
Ship cloud and Kubernetes deployments in minutes, not weeks. Secure AI agents read your code, pick the right plans from your platform catalogue, and roll out infrastructure that already passes your security policies — no Terraform to write, no tickets to wait on.
2
Test
- Sandbox
- Policies
- Validate
3
Consume & Deploy
- Catalogue
- Self-service
- Deploy
Three stages. One catalogue. Agents do the wiring.
AI agents wrap your Terraform into versioned, self-serve plans. Developers describe their app; agents pick the right plans and deploy. Platform teams set the standards once, the AI agents handle the rest.
Create the catalogue
Three ways into your catalogue: import the Terraform you already have, pull from proven upstream modules, or have AI agents generate secure Terraform from scratch. Either way, your developers never write Terraform again — they consume versioned, policy-aware plans straight from the catalogue.
Three ways in
Import
Bring your own Terraform
Search
Upstream modules
Generate
Secure Terraform, AI-written
Wayfinder AI Agents
Wraps, validates, publishes
Your standards, applied every time
Wraps modules
Applies policies
Tags resources
Validates IAM
Self-service catalogue
S3
RDS
CosmosDB
Create · Video
Test against your policies and publish
Plans flow into a policy-focused sandbox that tests them against your security policies and the real conditions of your cloud accounts. Automated, end-to-end feedback in minutes — failures come back with the full context your agents (or your team) need to iterate. Nothing reaches your developers until it's validated.
Plans from Stage 1
S3
RDS
CosmosDB
Policy Sandbox
Policy-driven, end-to-end in minutes
Running policies in sandbox…
Testing against real cloud accounts…
Reporting failures with full logs…
Validated ✓
Your security policies
Network
IAM
Encryption
Cost
Across your cloud accounts
AWS
Azure
GCP
Validated · safe to publish
Test · Video
Consume and deploy
Developers describe their app and Wayfinder does the rest. AI scans the codebase, matches requirements to the catalogue, generates the config, and deploys to the right account, region, and environment.
Developer's app
app.js
package.json
Dockerfile
Wayfinder AI scans & matches
Reads code
Checks deps
Matches catalogue
Catalogue match
Kubernetes
AWS S3
Azure SQL
GCP BigQuery
wayfinder.yaml
Account
Region
Environment
App deployed
Consume and deploy · Video
Explore the features
A closer look at the tools and capabilities that power every Wayfinder deployment.
$ wf get workspaces
NAME KEY STATUS
compl compl Success
claim claim Success
finan finan Success
actua actua Success
brigh brigh Disabled
✓ 5 workspaces active
$ wf get resources --type cloud
NAME TYPE VERSION
aws-s3-data-bucket Cloud v1.0.0
aws-neptune Cloud v1.0.7
aws-network-build Cloud v1.0.0
✓ 15 cloud resources available
$ wf get integrations
NAME PROVIDER ENABLED
DNS Built-in true
Terraform Built-in true
Kubernetes Built-in true
✓ 3 integrations enabled
$ wf get users
NAME EMAIL STATUS
Aisha Khan aisha.khan@northbridgeco.io Success
Jordan Taylor jordan.taylor@clearpathsol... Success
Priya Patel priya.patel@alturatech.io Success
Marcus Okafor marcus.okafor@brightforge.co.uk Success
Sofia Alvarez sofia.alvarez@evercorelabs.io Success
✓ 5 users active
One workflow. Two audiences. Zero handoffs.
Developers ship a full stack from one manifest. Platform teams publish the plans that power it.
For developers
Ship a full-stack app from one manifest.
Describe your application once. wf up deploys it to every environment and wires identity, access, and dependencies for you.
-
One manifest, full stack
One
wayfinder.yamldescribes your app, its Kubernetes workloads, and its cloud resources. One source of truth. -
Same deploy, every environment
Ship to ephemeral, dev, staging, and production from the same manifest. No environment drift.
-
Identity wired for you
Workload identities, IAM roles, and service accounts are provisioned for you. No manual wiring.
-
AI-assisted authoring
Generate your
wayfinder.yamlagainst the plans your platform team has published. Guided, not guesswork.
For platform teams
Curate the platform. Govern the cloud.
Publish your Kubernetes and Terraform expertise as self-service plans. The work you already do becomes a curated product developers actually use.
-
Agentic Terraform plans
AI agents draft, test, and iterate CloudResourcePlans from upstream Terraform modules or your own. Standardise infrastructure without owning every PR.
-
Infrastructure as a product
Publish cloud resources as catalogued, versioned, self-service plans. Developers consume them the same way they consume Kubernetes.
-
Self-service ephemerals
Roll out reusable patterns, including on-demand ephemeral environments that tear down on their own. Costs stay low. Developers stay unblocked.
-
Wire integrations once
Connect your observability, CI, identity, and ticketing tools once. Every developer workflow inherits them automatically.
Proven results from platform teams like yours
Real teams. Real outcomes. See how organisations are using Wayfinder to ship faster, enforce governance automatically, and give developers the self-service they need.
Developer Self-Service · AWS
Transport Exchange Group enables developer self-service at scale
TEG's AWS platform had grown over five years and needed modernising. Developers depended on a central DevOps team for every infrastructure request, limiting delivery speed.
Wayfinder's validated Plans abstracted cloud complexity. 50 developers can now self-serve infrastructure through reusable patterns with security, compliance, and cost controls enforced automatically from day one.
Developer self-service delivered. 50 engineers provision infrastructure using tested Plans. Security is validated once by the platform team and consumed by everyone, eliminating the bottleneck.
TEG · AWS
Find out more
Governed Cloud Platform · Azure
JJ Food Service delivers AI data platform in 12 weeks on a governed cloud foundation
JJ Food Service needed to move quickly from manual analytics to AI-powered customer intelligence, with governance built in and without heavy infrastructure overhead. Wayfinder provided the governed Azure platform foundation, enabling automated compliance, cost management, and full team independence so developers could focus on building, not managing cloud.
AI data platform delivered in 12 weeks, driving £5M annual incremental revenue. The team operates fully independently with compliance governed automatically throughout.
JJ Food Service · Microsoft Azure
Find out moreThe measurable impact of platform engineering
Real outcomes from teams running Wayfinder in production.
more developer time on product
Developers spend ~31% of their time on infrastructure instead of writing code.
policy-compliant deployments
Nearly half of enterprises suffer incidents from cloud misconfiguration.
faster to production
Elite performers deliver changes an order of magnitude faster.
From the Wayfinder team
Walkthroughs, videos and insights to help your team get the most from Wayfinder.
Walkthrough
From laptop to live: an event-driven AWS stack with Wayfinder
Five Lambdas, API Gateway, CloudFront, DynamoDB, SNS, S3 and a React SPA. Built and pushed straight from your laptop. One manifest, one wf up, zero hand-coded IAM.
Walkthrough
Ephemeral environments that clean themselves up
Per-PR preview environments wired into your pull request lifecycle. wf up on open, wf down on close. No orphans, no idle bill — just the same manifest as production, throwaway.
Video
Key feature highlights
A quick tour of what changes when Wayfinder lands on your stack: AI agents at every stage, self-service for developers, guardrails for the platform team, and a free tier with no end date.
Product Insights
What is Wayfinder?
Why developers raise tickets, why platform teams burn out, and how a self-service catalogue, AI testing and one wayfinder.yaml file changes all of that.
Ready to see Wayfinder in action?
Book a 20-minute demo tailored to your team's environment and goals.