For IT, cloud & systems integration consultancies
TWINJAM turns contract assumptions into a live register, watches the channels where enterprise programs actually change, and gives your engagement leads evidence for every change request.
Validation run on Oct 14: 42% of rows in 6 tables failed referential checks. Client asked in Teams whether the team could “just clean it during load”.
64 hrs data cleanup · change order drafted
Owner: Client DBA
Client enterprise architect asked for a warm standby in a second region during the design review. SOW §4.1 specifies one region.
Est. 120 hrs + infra cost · awaiting PM review
Owner: Agency architect
Credentials not received as of week 4, day 2. Dependency delay logged with timestamps from the vendor email thread.
9-day slip logged against client dependency
Owner: Third-party vendor
Terraform plan in PR #212 matches the three contracted environments. No additional workspaces detected.
No impact
Owner: Agency DevOps
Cutover plan approved in steering committee minutes, Oct 2.
No impact
Owner: Joint
Where consultancy margin goes
Multi-stakeholder programs change in architecture reviews, steering committees and vendor threads. By the time it reaches a ticket, the team has already absorbed it.
Architecture drift
A second region for DR, an extra account for a new business unit, a service mesh nobody priced. TWINJAM compares Terraform pull requests and architecture threads with the contracted target state.
The payroll vendor is two weeks late with API credentials. Without a timestamped record, the delay becomes your problem at the next steering committee.
The SOW assumes cleansed source data. The data is not clean, and the team is asked to “just fix it during the load”.
A fourth UAT environment, extra VPN tunnels, one more integration endpoint. Each is small, and together they consume the contingency.
How it works on a migration program
Deliverables, exclusions, RACI tables and every written assumption become structured rules, including the ones buried in appendices.
Each assumption gets an owner, an accountable party and a status. Client-owned dependencies are tracked separately from your own.
Steering committee chats, architecture review threads and vendor emails are checked for requests and events that break an assumption.
A broken assumption produces either a change request with hours or a timestamped delay notice. The engagement lead approves before anything is sent.
Broken assumption, ready for steering committee
When assumption A-1 broke on the Kestrel Mutual migration, the engagement lead had the validation results, the client's request and the hour estimate in one pack. The cleanup became a separate work package rather than a silent overrun.
Request
“Our data is a bit messy. Can your team just clean it during the load?”
Teams · #kestrel-migration · Oct 14, 11:02
Contract
Client delivers cleansed source data for 14 core tables before load rehearsal one.
SOW Appendix C, assumption A-1
Impact
64 engineering hours at $175 per hour
$11,200
FAQ
Yes. The Scale plan includes a custom MSA clause rule engine, so master terms such as change control procedures and rate cards apply across every SOW under the agreement. Each SOW is parsed separately and linked to the MSA.
When a client-owned or third-party dependency misses its date, TWINJAM logs the slip with timestamps from the source thread and drafts a delay notice that references the assumption. The engagement lead reviews and sends it.
Yes. Teams channels and chats, and Outlook mailboxes you authorize, are monitored the same way as Slack and Gmail. Many consultancy customers run entirely on Microsoft 365.
The Scale plan offers regional data residency in the US, EU and India. Connectors are read-only, data is encrypted with AES-256 at rest and TLS 1.3 in transit, and TWINJAM never trains models on client IP.
Share one live SOW and assumption list. We will map the broken assumptions and unpriced requests on your current program.