Agentic engineering pipeline

Take on the next project without the next hire.

A fully autonomous pipeline that takes tasks from your backlog, implements features, fixes bugs, runs tests, verifies the result, and creates pull requests, with human oversight at every critical checkpoint. Built for IT consultancies and outsourcing firms who want to deliver more projects at higher margins.

Cyber Essentials certified. Built for consultancies operating under client NDA.

01 · Margin problem

Every new project, proportional hiring.

The pattern-based work is swallowing your senior engineers' time, and your margins.

Most engineering tasks (building features, fixing bugs, writing tests, handling migrations) follow patterns that don't require senior expertise. Yet every new project requires proportional hiring. Your margins compress while clients demand faster delivery. What if you could take on significantly more projects without adding headcount?
02 · How it works

From backlog ticket to pull request. Autonomously.

The pipeline connects to your project management tool, picks up tasks, and executes the full development lifecycle, with human-in-the-loop checkpoints at every critical decision.

01

Task intake

Connects to Jira, Linear, or GitHub Issues. Picks up tickets from your backlog automatically or on assignment. Understands requirements in plain English. You decide which tickets enter the pipeline.

Triage
02

Implement & verify

Writes implementation code and tests in an isolated environment. Goes beyond automated tests: agents open a browser, navigate the application, and verify the feature end-to-end, the same way an engineer would before submitting their work. Sandboxed execution. No production access. No data egress.

Sandbox
03

Review & PR

Creates a clean pull request with documentation, change summary, and test results. Your developers review and approve; code is never auto-merged.

Human approval
03 · What gets automated

These tasks rarely need a senior.

Your specific automation rate is measured during the paid pilot phase. Most consultancies see 30 to 50% in week one, climbing as the pipeline learns conventions and codebase style.

New feature implementation
Bug fixes and issue resolution
API endpoints and integrations
Test coverage and QA
Database migrations and schema changes
UI components and frontend work
Dependency updates and config changes
Refactoring and code cleanup

Your senior engineers focus on architecture, client relationships, system design, and complex problem-solving: the work that actually requires expertise.

04 · Pricing

Value-based pricing that scales with your savings.

We don't charge per seat or per token. Pricing is tied to measurable impact. Larger teams save more per engineer, because freed-up capacity compounds.

Outcome-based pricing. We take a fixed share of measured savings. You keep 70%.

Automation rate is not the same as cost reduction. Pattern work shifts to the pipeline. Seniors still review every PR. Realisable savings typically land at 30 to 40% of total engineering spend.

Engineering team size 15
Average monthly cost per engineer (USD) $5,000
Automation rate (measured during pilot) 60%
Current monthly spend $75,000
Realisable monthly saving $45,000
Annual savings potential $540,000
Pipeline cost $12,346/mo
Your net monthly saving $32,654/mo
ROI multiplier 3.6×

Pricing scales with team size: larger teams get better rates. Final pricing determined during pilot based on your team's actual automation metrics. Pilot engagement is a paid engagement.

05 · For consultancies

Plug in and start delivering faster.

No complex onboarding. No UI for your team to learn. We connect directly to your task tracker and source code. The pipeline works behind the scenes as part of your existing engineering workflow.

Quick start

What we need from you

Access to your source code repository and connection to your task manager (Jira, Linear, GitHub Issues). Environment variables for local development. That's it. We handle the rest.

How it looks to your team

Tasks get picked up from the backlog. Pull requests appear with clean, tested code. Your developers review and merge as usual. The pipeline operates invisibly within your existing process.

How it looks to your clients

Your consultancy delivering at 2 to 3× velocity. Faster project turnaround, more capacity for new engagements. Your brand, your relationship; clients see results, not tools.

Complementary, not competing.

Cursor, Copilot, and Claude Code are excellent tools for individual engineers. They make typing faster. The pipeline operates at a different layer: it picks up tickets autonomously and delivers reviewed pull requests. Your developers keep using their existing tools. The pipeline handles tickets they aren't yet assigned to. The two are complementary, not competing.

06 · Integrations

Works with your existing stack.

No rip-and-replace. The pipeline plugs into the tools your team already uses.

GitHub
GitLab
Bitbucket
Jira
Linear
GitHub Issues
Slack
07 · Security

Your code stays yours.

Each task runs in an isolated environment. Every action is logged.

Cyber Essentials certified

NCSC-backed security standard covering access control, malware protection, patch management, firewalls, and secure configuration.

Code isolation

Each task runs in an isolated environment. Client codebases are fully separated. No code is shared between workspaces.

Full audit trail

Every action is logged: what was changed, when, and why. Complete traceability across all pipeline activity for your compliance and reporting needs.

08 · Questions

Common questions.

Click to expand.

01

Is AI-generated code production-ready?

Every pull request goes through human review before merging; the pipeline never auto-merges code. Beyond automated tests, the pipeline verifies implementations end-to-end, opening a browser, navigating the application, and checking that features work correctly. Quality is validated before your developers even see the PR.
02

Our clients won't accept AI-generated code.

The pipeline operates invisibly within your engineering process. Your clients see pull requests with clean, tested code, reviewed and approved by your developers as usual. Indistinguishable from human-written code in your workflow. From the client's perspective, the only thing that changes is your delivery speed.
03

How is pricing calculated?

We measure actual automation impact during a paid pilot phase: what percentage of tasks the pipeline handles, time saved, cost reduction. Pricing scales with team size: larger teams get better rates because the efficiency gains compound. You keep the majority of the savings.
04

How long does integration take?

Setup is minimal: we need access to your source code repository, environment variables for local development, and a connection to your task manager. Typical integration takes a few days. A paid pilot then runs for 60 to 90 days to establish baseline metrics and optimise for your workflows.
05

Will this replace our developers?

No. The pipeline handles the pattern-based work: feature implementation, bug fixes, tests, migrations. Your senior engineers focus on architecture, client relationships, and complex problem-solving. It's a capacity multiplier that lets you take on more projects without proportional hiring.
06

We already give our developers Cursor, Copilot, and Claude Code.

Those tools are great for individual productivity. They don't change the headcount math because each engineer is still the unit of capacity: they choose when to use the tool and what to accept. The pipeline operates at a different layer. It picks up tickets autonomously, executes the full lifecycle in a sandboxed environment, and produces a reviewed PR. Your developers keep their tools. The pipeline adds parallel capacity on top.
07

What about security for client codebases?

Each client workspace is fully isolated. Code never crosses workspace boundaries. We're Cyber Essentials certified, and every pipeline action is logged with full traceability for your compliance needs.
10 · Engage

Ready to scale your engineering output?

Book a 30-minute demo to see the pipeline in action on a real codebase. We'll walk through the workflow, discuss your use case, and scope a paid pilot engagement.