The control plane for AI-native engineering

Different tools. One engineering system.

Run engineering on AI, from roadmap to release, across every team. Your engineers keep the agent harness they already use; Wakalix adds the agents, context, guardrails and record around it.

Q4 roadmap → this cycle3 teams · 3 harnesses · one system
Single sign-on for admin Billing on v2 Faster mobile checkout
Planned 1
PAY-18Payments
Billing API contract
CodexPlanned
Building 1
PAY-15Payments
Webhook retry queue
CodexDeveloper agent
In review 1
MOB-7Mobile
Offline cart sync
CopilotWaiting on a person
Shipped 1
PLT-39Platform
Rate-limit the public API
Claude CodeShipped ✓
Plan approved by the tech lead
Claude Code, Codex and GitHub Copilot Sign-in with your own identity provider Human-in-the-loop at every decision Every step on an audit trail

Why Wakalix

AI made coding faster. Running engineering didn't get easier.

Scaling AI across engineering raises six challenges — speed, spend, security, insight, consistency and learning. Wakalix is built to solve each one.

Faster code, same slow delivery

Planning, review, approval and release still move at human pace. AI sped up one step out of six.

WakalixRuns the whole cycle — roadmap, plan, build, review, release — not just the coding.

AI spend with no link to outcomes

Token bills grow every month, and nobody can say which work they paid for.

WakalixEvery item is estimated before it starts, and its cost tracked per item, team and quarter.

New security risks, few controls

Secrets, customer data and injected instructions now pass through AI tools unchecked.

WakalixGuardrails, human approval and an audit trail on every agent action — by default.

No insight for leaders

Who asked, who approved, what shipped, and was it worth it? The answer is scattered across tools.

WakalixLive insight into delivery, cost and quality — one quarterly answer the board can trust.

Every team, a different AI workflow

Different tools, prompts and habits in every team. Shadow AI, and no shared standard.

WakalixOne governed system above any agent harness. Teams keep their tools; the organisation sets the rules.

Mistakes repeat, lessons don't stick

Every sprint starts from scratch, so the same AI mistakes keep coming back.

WakalixEvery retro feeds back into your agents and guardrails. The system gets better every cycle.

How it works

From roadmap to release, in one system.

People set direction and make the calls. AI agents do the heavy lifting. Every hand-off between them is explicit, and every step is on the record.

1Roadmap

Start from what the organisation intends to build.

Every product keeps a ranked roadmap. Open a cycle from any item, and the roadmap keeps track of every cycle it spawned and what each one produced.

People set direction
Roadmap
The Wakalix roadmap: ranked items per product, each marked proposed or accepted.
Product screen · the roadmap
2Plan & approve

A plan, sized and assigned — approved by a person.

A planning agent breaks the work into items, each with a clear definition of done and the right agent to do it. Nothing runs until someone on your side approves the plan. Approving it is what creates the work.

AI plansA person approves
Cycles › New tax year rates
A delivery cycle in Wakalix: plan, execute and retro phases, the approved plan, and the board — one item blocked because an agent asked a person.
Product screen · a cycle, its approved plan and its board
3Context

Every task starts with the right context.

Before an agent begins, Wakalix assembles its context package: what's being asked, the parts of the codebase that matter, your standards and rules, and the decisions already made. The agent starts informed — not cold.

Context engineeringDelivered over MCP
The ask and its definition of doneRelevant code, from a scan of your repoYour standards and rulesDecisions already on recordThe agent's own instructions
Context packagebuilt for this one task
Claude CodeCodexCopilotyour engineers' harness
4Build

Agents build it — and stop to ask when the call is yours.

A developer, an architect, a reviewer, a product manager — each with a defined job and hand-off, running in your engineers' own harness on the subscriptions you already have. When an agent reaches a decision that belongs to a person, it stops, lays out the options and waits. It doesn't guess.

Multi-agent hand-offsHuman-in-the-loop
B-3 · Design the deduction rate model
An architect agent asking a person for a decision: two ways to model a rate, the trade-off of each, and a note that nothing has been written until somebody answers.
Product screen · an agent asking a person for a decision
5Review & accept

Checked against its criteria. Accepted by a person.

Every piece of work comes back with its evidence: the commit, the branch, the agent and version that produced it, and a verdict against each acceptance criterion. A person accepts it, challenges it or sends it back. It lands as a pull request in your own repository — and a person merges it.

Evidence attachedA person accepts
B-1 · Survey the existing deduction paths
A finished work item: the commit, branch and repository it produced, each acceptance criterion marked met, and a note that a person accepted it.
Product screen · what came back, checked and accepted
6Release & learn

Every cycle makes the next one better.

At the end of a cycle, the team looks back. What an agent refused, got wrong or had to ask about goes back into the agents themselves — so the next cycle starts from a better team, not from scratch. And you can see how the quarter's work moved: what was planned, what landed, and where it waited.

Retro built inAgents improve
Reports › Delivery
The delivery report: cycles closed, items delivered against planned, items waiting on a person, and a table by cycle.
Product screen · the delivery report

Many teams, one system

Every team works its own way. Wakalix adapts to all of them.

Teams choose their harness, the agents they need and the rhythm they work at. Leadership sees one roadmap, one set of guardrails and one record — across all of them.

PaymentsCodex
Rhythm
Weekly cycles
Agents
DeveloperReviewerCompliance checker
Rules
Two approvers on anything touching money
PlatformClaude Code
Rhythm
Continuous, small items
Agents
ArchitectDeveloperMigration agent
Rules
Architect signs off every schema change
MobileCopilot
Rhythm
Two-week cycles
Agents
DeveloperReviewerUX reviewer
Rules
Release notes on every change
Shared across every teamThe roadmapThe agent catalogueGuardrailsSSO and accessThe audit trailOne view for leadership

Highlighted agents are ones a team built for itself

Visibility for leaders

See what AI is actually doing for the organisation.

One answer for the board, built from the record: what shipped, what it consumed, how often it was right first time, and how much of your people's time it took.

Portfolio › Proof
A quarterly proof page: work items accepted, cycles closed, tokens consumed from the organisation's own subscriptions, first-attempt acceptance rate and hours of human decision time.
Product screen · the quarterly proof page
  • 01
    What shippedItems accepted and cycles closed, per product and per team.
  • 02
    What it consumedTokens from your own subscriptions, measured on your machines — never an agent's account of itself.
  • 03
    Right first timeHow often work was accepted on the first attempt, and what needed more.
  • 04
    Your people's timeHow many decisions AI asked of your people, and how long each one waited.

Agents your company owns

A prompt is a sentence. A Wakalix agent is a governed asset.

Most teams run AI on prompts scattered across laptops. In Wakalix, every agent is defined once, owned by your organisation, released like software and improved every cycle.

Developer agent · v3Owned by the Platform team · pinned for every team
  • Role & instructionsWhat it's for and how it works
  • SkillsThe specific jobs it can do
  • ToolsWhat it's given to work with, over MCP
  • ContextWhat it reads before it starts
  • GuardrailsRules that hold outside the model
  • Hand-offsWhat it takes in, and who it passes work to
  • CheckpointsWhere it stops and a person decides
  • VersionsReleased, pinned, and every change recorded
  • EvalsTested before a new version is released
How is that different from a prompt, or an agent config file?
A promptAn agent config fileA Wakalix agent
Shared across the organisationPer repositoryAcross every team and repository
Versioned and releasedGit historyReleased, pinned, rolled back
Knows who it hands work to typed hand-offs
Stops and asks when unsureIf it remembers to a defined outcome
Rules held outside the model guardrails
Every run on the record audit trail
Improves after every cycleBy hand through the retro

Build, test, release

Your own agents, tested before they ship.

Build your own agents.

Describe the job in your own words. The agent builder drafts the definition — and asks about anything it can't infer, instead of guessing.

Agents › agent-builder
The agent builder drafting a new agent and asking how a run of it should end, before it will let the draft be released.
Product screen · the agent builder

Test before you release.

Every new version runs against test cases before it goes live. A version that can't pass its own evaluation isn't published.

Evaluations › architect
An evaluation of an agent version: each skill's cases against the bar, one skill below it, and publishing held until it passes.
Product screen · evaluations

Guardrails

Guardrails that hold, whether the AI remembers them or not.

Most tools write your rules into the prompt and hope. Wakalix builds most of them into how work moves — so they can't be skipped — and leaves only real judgement calls to the AI.

Work only arrives as a pull request — never straight into main.

Built in

Every change says which requirement it serves.

Built in

A plan runs only after a person approves it.

Built in

Schema changes need the architect's sign-off.

A named person signs off

Keep changes small and focused.

AI judgement
Rules
The rules registry: each rule, how it is enforced, and what it costs the model — most of them nothing.
Product screen · the rules registry

Where Wakalix fits

More than spec-driven development.

Specs make one feature better. Wakalix runs the system around every feature — the roadmap, the teams, the agents, the approvals and the record.

AI coding assistantHelps one developer. Spec-driven developmentGets one feature right. WakalixRuns engineering on AI.
Scope One session, one developer One feature, from a written spec Roadmap, teams, cycles and every item — the whole organisation
Who plans The developer, in their head The spec author Planning agents, approved by the people accountable
Governance Whatever the developer does Reviewing the spec Approvals, guardrails, SSO, access and an audit trail
Learning Lost when the session ends Kept in the spec files Every cycle improves the agents themselves

Security & governance

Built for the security review, not in spite of it.

AI-assisted development brings new risks — leaked secrets, injected instructions, unreviewed changes. Wakalix is designed to close them.

Never runs the model

AI runs on your engineers' machines, so code only reaches the AI provider you approved.

Your keys stay yours

Agents use each engineer's own access, so there's no shared credential to leak.

Human-in-the-loop

Every agent change is reviewed and accepted by a person before it reaches your code.

Secrets and PII kept out

Guardrails check agent output for credentials and personal data before it's accepted.

Your identity provider

Single sign-on with your directory, so access ends the moment IT removes someone.

Roles and access

Decide who may use which agent, against which repository.

Prompt-injection resistant

Typed outputs and human approval mean an injected instruction can't quietly ship.

Traceable audit trail

Every agent action is attributable, so incidents trace back fast and audit evidence already exists.

Every agent action is traceable, and the evidence already exists for your auditors. Request our security pack →

Cost under control

Know what AI work costs before it starts.

Every item is estimated when it's planned and tracked against that estimate as it runs. AI spend becomes a number you agree to, not a bill you discover.

  • 01
    Estimated before approvalEvery plan arrives with its cost, so you approve both at once.
  • 02
    Tracked as it runsMeasured from your own AI subscriptions, against the estimate.
  • 03
    Reported per item and teamSee where the spend went, and what it bought.
Reports › Spend
The spend report: AI usage measured this cycle, spend against the forecast, first-pass acceptance, and cost per work item by agent.
Product screen · spend against forecast

Pricing

Flat, predictable, and on the page.

Priced per team of up to eight people, per month. The more teams you add, the less each one costs. Your AI subscriptions stay your own.

TeamRun on our ready-made AI team.
₹17,000
per team, per month
  • The starter agents, ready to work
  • Roadmap, cycles, reviews and the audit trail
  • Up to three teams
  • Email support
Most teamsProBuild and own your AI team.
₹39,000
per team, per month
  • Everything in Team
  • Create and version your own agents
  • Publish them into your own repository
  • Evaluate every version before release
  • Onboarding in your first week
  • A shared support channel
EnterpriseEverything, plus what security and audit teams need.
₹55,000
per team, per month
  • Everything in Pro
  • Access rules per repository and person
  • Access-review export for auditors
  • Run agents on your own endpoint
  • A named contact, faster response
Every plan: SSO with your identity providerThe full audit trailSupport 9am–7pm IST, Monday to Friday

Partners

For IT services and consulting firms.

Deliver your client work on Wakalix. Your people, your clients, your price — with our platform and support behind you.

Wakalix

The platform, the agent catalogue, second-line support, and certification for your consultants.

You

Your consultants run the projects. You set the price and own the client relationship.

Your clients

They work with your people. We support you behind the scenes.

Talk to us about partnering →

Request access

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