Clarity before code. Progress you can see every sprint.
Every engagement follows the same rhythm. We understand the problem with C247 CLEAR, build in short sprints you can see and steer, then run and improve what we ship. Senior people, plain reporting, and your code from day one.
- Senior-led teams
- A demo every sprint
- Your code, your IP
One engagement, step by step
Week 1 · Clarify
Agree the outcome and how we’ll measure it
- You get
- A problem brief with a baseline metric
- Your time
- One 90-minute workshop
Illustrative engagement. Timings vary with scope.
Principles
Five habits behind every engagement.
Methods change with the problem. These don’t. They are how we keep work predictable for engineering and product leaders who can’t afford surprises.
- 01
Problem before platform
We start from the outcome you need, not a tool we want to sell.
- 02
Senior people on your work
The people who scope the work stay to lead it.
- 03
Working software, every sprint
You see progress in a demo, not a status report.
- 04
Measured against a baseline
We agree how success is measured before we build.
- 05
Yours from day one
Your repositories, your cloud, your IP. No lock-in.
The C247 Way
Understand. Build. Run. One team the whole way.
Three phases, each with clear outputs and a clear decision at the end. You can stop after any phase and keep everything we produced.
Agree the problem, the system and the plan before anyone writes code.
- CClarifythe outcome, the users and the baseline we’ll measure against
- LLocatethe systems, data, people and hand-offs involved
- EEvaluatebuild, buy and integrate options, with cost and risk
- AArchitectthe solution, its integrations and its security
- RRoadmapreleases, estimates and the first slice to ship
Short sprints, working software, and a backlog you can steer.
- Shaped with your product owner. Priorities live in a shared backlog you can see and change.
- Design and engineering together. No hand-off from one team to the next.
- Quality on every change. Code review, automated tests and security checks in the pipeline.
- AI-assisted, engineer-reviewed. AI coding tools speed up delivery. Engineers review and own every change.
- Shown in your environment. Every sprint ends with a demo of working software.
Ship in slices, measure what changed, and keep improving.
- Release in slices. One team, region or workflow first, then the rest.
- Watch it in production. Monitoring and alerts from the first release.
- Measure against the baseline. The number we agreed in Clarify, reported plainly.
- Support under agreed service levels. Fixes, updates and small changes, planned around your business.
- Hand over when you’re ready. Documentation and knowledge transfer if you take it in-house.
Inside a sprint
Two weeks. No surprises.
You see what we’re doing every day, and you spend about two hours a sprint in meetings. The rest is written down where you can read it.
- Daily update in your Slack or Teams
- Shared backlog and roadmap
- Decision and risk log
- Recorded demos
Engagement models
Four ways to work with us. One way of working.
Start small and expand, or bring us in for a defined program. Whichever model you choose, the rhythm above stays the same.
Discovery sprint
Fixed scope. Map one workflow and agree what to build, with a clickable prototype.
Fixed-scope project
Defined outcome, timeline and price for a well-understood build or migration.
Dedicated team
A cross-functional Chapter247 team on your roadmap, scaling as you need.
Managed support
Maintenance, updates and monitoring under agreed service levels.
Commitments
What you can count on, whatever the model.
These are written into how we work, not added on request.
Your code and IP
Work lives in your repositories and cloud accounts from the first commit.
Plain reporting
A written weekly update with progress, risks and decisions. No surprises at the end.
Quality built in
Code review, automated tests and continuous delivery on every change.
Secure by default
Least-privilege access, managed secrets and security checks in the pipeline. NDAs as standard.
Responsible AI
AI-assisted work is reviewed by engineers, and your data is never used to train models.
Clean handover
Documentation, runbooks and knowledge transfer whenever you want to take it in-house.
“Think first. Then build.” is not a delay before delivery. It is how we make delivery more dependable.
Connect
Clarity before code.
We will help clarify the workflows, data, users, risks, and build path before your team commits engineering budget.
- Workflows
- Data
- Users
- Risks
- Build path