Vera does the work of an enterprise architect across your systems: ERP, CRM, integrations and custom apps. Mapping, impact analysis, scoping and documentation. She can, because she comes with the context: your code, your documents and what your team tells her, every fact traced to its source. Email her, or find her in Teams.
Today: SAP code and the documents behind it, read-only. Next: any system with code and docs.
Know what your systems do and how they connect, without workshops or archaeology.
See every process, report and integration a change touches before you approve it.
Every answer cited to source. Gaps declared, not papered over.
When people and partners move on, what they knew doesn't.
A brilliant architect who has never seen your systems will take months to onboard. General AI chat is the same. Vera comes with the context: the code and documents behind the systems you run, compiled into one traced map before she answers anything.
Vera vs ChatGPT, side by side →Email her, message her in Teams, or open her own chat page. She knows who’s who, remembers who told her what, and keeps track of her own work. What one person teaches her, the whole team can use.
Email and her chat page work with nothing installed. Teams puts her where your people already talk. One memory across all three.
Her manager keeps the list of people and roles, and approves anyone new. An unknown sender stays unknown. She never guesses who someone is.
Every fact is stored with who said it, their role, when, and the message it came from. She cites it when she answers.
“I haven’t learned that yet.” When two people tell her different things, she says so and asks who decides.
She knows what she’s working on, what she’s waiting for and what she owes. She works on a schedule and picks up where she left off.
Urgent things go to the right person now, with her reasons. The rest waits for her Monday note. She suggests who should decide, and never decides for them.
Everything Vera learns, from documents or from people, is shared with everyone she works with, whether it was said one-to-one or in a group. How her memory works →
Before her first answer, Vera maps every system you run: business function to process to code to document. Then she tells you where they disagree.
Six of the ten responsibilities on her job description, and what Vera delivers for each. (She checked the JD twice.)
A living, traced map of what your systems actually do, and how they connect.
See what Vera delivers →RESPONSIBILITY 02See every caller, process and report before you touch anything.
See what Vera delivers →RESPONSIBILITY 03Scope any migration or modernisation from what the code does, not from workshops.
See what Vera delivers →RESPONSIBILITY 04Reconcile documents with code: agree, disagree or gap.
See what Vera delivers →RESPONSIBILITY 05Give every copilot one source of truth to cite.
See what Vera delivers →RESPONSIBILITY 06When people leave, what they knew stays.
See what Vera delivers →Ask anything about your estate. Every sentence labelled and linked to source.
Callers, processes, reports and risks for any change, ready for the change board.
Where documents and code agree, disagree, or say nothing.
S/4HANA, cloud or platform consolidation: what to bring, retire or rebuild, and what will bite you.
Always-current documentation of your estate, written from the code up.
Your copilots and agents query the same model and cite it.
Share a read-only export of your code and documents, plus the list of who’s who. Nothing in your systems changes.
Vera reads code bottom up and documents top down, and builds one traced map.
Email her, message her in Teams, or assign the job: scoping, impact, reconciliation.
Real deliverables, in the format she hands them over. Examples are illustrative.
30 minutes. Your estate. Vera answers, with the source line to prove it. No awkward small talk.