01 · Enterprise coding
Not vibe coding. Enterprise coding.
Don't just speed up your developers. Speed up the whole delivery lifecycle: environment, code, review, testing, security and release, under your own rules.
Today: about 2 weeks from idea to releaseWith Forge: about 1 day, sandbox ready in 1 minute
- Days of waiting for a working environment
- AI only helps while code is being typed
- Reviews, tests and security checks pile up in queues
- A ready sandbox environment in one minute
- Testing, quality and security handled by digital workers
- Nothing ships without a person's approval
02 · Knowledge graph
An inventory and dependency map that builds and checks itself.
Instead of a list someone has to keep updating by hand, Forge builds a knowledge graph of your applications, owners and dependencies automatically, and keeps checking that it is still true.
Today: maintained by hand, always out of dateWith Forge: built automatically, verified continuously
| Application | Owner | Depends on | Last checked |
|---|---|---|---|
| Payments | unknown | Ledger? | 214 days ago |
| Online checkout | Selin (left) | unknown | 1 year ago |
| Accounting ledger | unknown | — | 9 months ago |
| Refunds | — | — | never |
| Fraud detection | unknown | Payments? | 8 months ago |
- Needs constant manual work to stay current
- Four in ten applications have no known owner
- Nobody knows what a change will break
- Applications, owners and dependencies found automatically
- See what any change will affect, in seconds
- Stale or broken links flagged the moment they appear
03 · Progress reports
Progress reports nobody has to write.
Instead of hand-written documents and status reports nobody wants to prepare, an AI agent reads the code, boards and documents and writes the report for you, including where plans and reality differ.
Today: chased every Friday, half emptyWith Forge: ready every Monday, automatically
Weekly status report · Week 38
Checkout team[please fill in]
Finance platformTODO
Risk analytics"Working on the model, more next week."
Plan versus reality?
Due Friday 17:00 · 3 of 4 teams have not replied
- Written by hand, from memory
- Out of date the moment it is sent
- Gaps between plan and reality stay hidden
Progress report · Week 38
Checkout teamCard security upgrade released (12 changes). Refunds service about 60% done. on plan
Finance platformLedger export not started yet. behind plan
Risk analyticsFraud model update in testing. on plan
Plan versus reality3 gaps: 1 outdated document, 1 unstarted item, 1 piece of unplanned work.
Sources: code changes, boards, documents · no manual input
- What each team really did this week
- Plan versus reality, with the reason for each gap
- An organisation-wide summary for leadership
04 · A hybrid team
Your people focus on the business. Digital coworkers handle the rest.
Tests, quality fixes, security findings, upgrades and documentation are repetitive or only technically required. Digital coworkers take them over, and your developers spend their time on business logic.
Today: 30% of a developer's week on the businessWith Forge: 80%
- Business logic: the work that creates value
- Repetitive or technically required work
- Skilled people doing repetitive work
- Technical debt grows quietly
- Business requests wait in line
- Business logic: the work that creates value
- Reviewing and approving digital coworkers' work
- Digital coworkers take the repetitive work
- People decide, review and approve
- Technical debt shrinks every week
05 · Microsoft Teams and Slack
One conversation instead of ten platforms.
No new portal to learn and no settings to manage. Ask the knowledge base, or ask for code, from Microsoft Teams or Slack, where your people already work.
Today: ten tools, ten logins, ten settings pagesWith Forge: one chat
- Every tool with its own login and settings
- Knowledge scattered across them
- New joiners lost for weeks
- Works in the tool your people already use
- Connects to your existing systems behind the scenes
- Nothing new to install or configure for users
06 · Hybrid AI strategy
On-premises and cloud AI together. Costs under control.
Sensitive code and data stay on AI models running in your own data center. Other work can use cloud models where your policy allows. You decide what goes where, and set the budget.
Today: one cloud bill that keeps growingWith Forge: the right model for each job, within budget
- Every request billed at cloud prices
- Sensitive code and data leave the company
- No control over which model does what
- Sensitive code and data stay on your own GPUs
- Cloud models only where policy allows
- Budgets and usage visible per team
07 · See it on your own systems
Request a demo or a proof of concept.
A demo takes one hour. A proof of concept runs in your own environment for one week: we map your first 100 applications and your team sees the knowledge graph, the progress reports and the digital coworkers at work.