The people who designed it have gone
The implementation team rolled off and the knowledge went with them. What remains is a platform whose design decisions nobody can explain, so every change is made cautiously and none of them are made well.
Communications Cloud support and managed services is standing ownership of the platform once it is live: incidents and order fallout, the catalog and orchestration changes the business keeps asking for, readiness for each Salesforce platform release, and the slow work of reducing the things that generate tickets in the first place. Twopir Consulting runs it with a named team that knows your model. Not a queue staffed by whoever is free.
Trusted by 500+ organizations — including connectivity and communications providers whose Salesforce platforms Twopir Consulting operates day to day.
What We Operate
None of these is dramatic. Each one is a slow decline that becomes visible about eighteen months after a successful launch.
The implementation team rolled off and the knowledge went with them. What remains is a platform whose design decisions nobody can explain, so every change is made cautiously and none of them are made well.
Business change and incident response compete for the same people, and incidents always win. The result is a platform that is stable and commercially frozen, which is not what it was bought for.
Exceptions get worked rather than reduced. Because nobody owns the trend, the queue is absorbed by adding headcount, and the underlying causes are never addressed.
Salesforce ships releases on a schedule. Without someone testing against preview orgs ahead of time, each one is discovered in production by a user, usually during a busy period.
Under time pressure, the quick fix wins every time. Two years of quick fixes produce a platform whose behaviour no longer matches its documentation, or its design.
Without flow-through, fallout and cycle-time trends, the platform is managed by anecdote. Leadership hears whatever the loudest incident was last week and invests accordingly.
Communications Cloud support and managed services is a standing engagement that takes responsibility for a live platform. In practice it covers four streams that most operators otherwise try to run with the same few people: incident response, including order fallout and integration failures; change delivery, meaning the new offers, prices, promotions, markets and orchestration paths the business keeps asking for; platform stewardship, meaning release readiness, environment hygiene and the regression suite; and reduction, the deliberate work of removing the causes of recurring tickets.
The fourth stream is the one that distinguishes a managed service from a support contract, and it is the one most often missing. A support contract is measured by how quickly tickets are closed, which creates no incentive to make fewer of them arrive. We report on ticket volume as a trend we are trying to drive down, and we agree a share of each period's capacity for reduction work rather than letting incident demand consume all of it.
What distinguishes this from generic Salesforce application support is the subject matter. Order fallout is not a defect queue — it needs somebody who understands decomposition and orchestration plans. A catalog release is not a config change — it can alter what every channel can sell and what billing will charge. Twopir Consulting staffs this with people who have built these platforms, and where we implemented the platform, the people who made the design decisions are the ones who answer for them.
Service targets are commercial terms, not marketing copy. Response and resolution commitments, coverage hours, escalation paths and capacity split are set in the service definition we agree with you, sized to your order volumes and business hours. We deliberately do not publish example numbers here, because a target that has not been sized against your platform is not a commitment — it is decoration.
Agreeing the split in advance is what stops incident demand from quietly consuming every hour that was meant for change and reduction.
The things that are broken now, including the telecom-specific ones that a generic support desk cannot triage.
The business asks the platform is bought to answer: new offers, new prices, new markets, new channels.
Keeping the platform current and the environments trustworthy, so change stays safe to make.
The stream that makes the service cheaper over time instead of more expensive.
Raising what your team can do unaided, which is how the service shrinks by design rather than by cuts.
Keeping the platform pointed at where the business is going, not only at where it has been.
Which one fits depends far more on your internal capability and rate of change than on the size of the platform.
Support, co-managed and fully managed
| Supported | Co-managed | Fully managed | |
|---|---|---|---|
| Who owns the platform | Your team | Shared, with a written split | Twopir |
| Best when | You have a capable internal team and low change | You have some capability and want to grow it | You have no internal Salesforce Industries capability |
| Incidents | Escalation to us when your team is stuck | We take defined categories, you take the rest | We take everything |
| Catalog changes | Your team, with our review | Either, by agreed category | We deliver, you approve |
| Platform releases | We test and advise | We test, you remediate with us | We handle end to end |
| How it should change | Stays stable | Shifts toward your team over time | Shifts to co-managed once capability exists |
We will say plainly which model we think fits, including when that means recommending the smaller engagement. A fully managed service sold to an operator who actually wants internal ownership produces an unhappy client in year two, which is worse business for us than the smaller contract would have been.
A managed service is a cadence, not a mailbox. This is the one we run.
We document what exists, capture the design decisions still recoverable, build or inherit the runbooks, and establish a baseline of flow-through, fallout and cycle time. Where we built the platform, this is short. Where we did not, it is the most valuable fortnight of the engagement.
Incidents and fallout worked against the agreed targets by a named team, with telecom-specific triage rather than generic Salesforce support. Anything recurring is logged against the reduction backlog rather than merely closed.
Catalog, pricing and orchestration changes on a predictable train, release-noted, regression-tested and reversible. A known cadence is what lets the commercial team plan launches with confidence.
Testing against preview environments ahead of every Salesforce release, with a remediation plan produced before the release reaches your production org rather than after a user finds the problem.
Trends, not tickets: flow-through, fallout causes, cycle time, capacity split and technical debt. The review is expected to change the next quarter's plan — otherwise it is a status meeting with a nicer name.
Described the way the teams who live with the platform would describe it.
Telecom problems get telecom triage
Order fallout and orchestration failures are handled by people who understand decomposition and fulfilment, rather than raised as generic defects and routed somewhere slow.
Offer launches have a date
Catalog change runs on a release train with known timings, so the commercial team can plan a launch instead of asking whether the platform will be ready.
Fallout goes down, not sideways
Recurring causes are worked as a backlog with protected capacity, so the exceptions queue shrinks over time rather than being absorbed by additional headcount.
Platform releases stop being events
Preview-environment testing ahead of each Salesforce release means remediation is planned work, not an incident discovered by a user during a busy period.
Your team gets more capable, deliberately
Enablement and paired working are part of the service, so the scope of what needs us shrinks by design rather than by contract renegotiation.
Leadership sees trends, not anecdotes
Flow-through, fallout causes, cycle time and capacity split are reported quarterly, so investment decisions follow evidence instead of the most recent loud incident.
Related Twopir work
Related: Communications Cloud optimization when the platform needs a step change rather than a steady hand, and implementation for how we build toward a supportable platform from Phase 01.
A support contract that grows every year is usually evidence of a platform getting worse. We report ticket volume as a number we are trying to reduce, and protect capacity to do it.
The same people, who know your catalog model and your integration estate. Telecom platform support depends on context that a generalist queue cannot hold, however well-staffed it is.
A share of every period is reserved for removing the causes of recurring tickets. Without that protection, incident demand consumes everything and the platform never gets better.
Preview-environment testing ahead of each Salesforce release turns a recurring surprise into planned remediation. This is routine work that is nonetheless skipped remarkably often.
Enablement and paired working are part of the service. When your team can own something, they should, and the agreement should shrink accordingly rather than quietly continuing.
Tickets closed measures how busy we were. Flow-through, fallout causes and cycle time measure whether the platform is improving, which is the only thing worth a quarterly meeting.
Support is reactive: your team owns the platform and escalates to us when it is stuck. Managed services is standing ownership across four streams — incident and fallout response, catalog and orchestration change delivery, platform stewardship including release readiness, and the reduction work that removes the causes of recurring tickets. The fourth stream is what actually separates the two. A support contract is measured by how fast tickets close, which creates no incentive for fewer of them to arrive; a managed service should report ticket volume as a trend it is driving down, with protected capacity to do that work.
Yes, and it is a significant share of what we do. Onboarding takes longer — typically two to four weeks — because we have to document what exists, recover whatever design rationale is still recoverable, build the runbooks, and establish a baseline for flow-through, fallout and cycle time. That period is usually the most valuable part of the first year, because inherited platforms almost always contain extensions nobody can explain and recurring incidents nobody has traced to a cause. We produce a findings summary at the end of onboarding, including anything we think needs fixing before it becomes an incident.
They are set in the service definition we agree with you, sized to your order volumes, business hours and the commercial impact of each incident class — not published as a generic figure. We deliberately do not put example numbers on this page, because a response target that has not been sized against your actual platform is decoration rather than a commitment. What we will agree is coverage hours, incident classification, response and resolution targets per class, the escalation path, and the split of capacity between incidents, change and reduction work.
Salesforce ships platform releases on a published schedule, with preview environments available ahead of general availability. We test against those previews before each release reaches your production org, identify what changes in behaviour, and produce a remediation plan while there is still time to act on it. Without this, each release is discovered in production, usually by a user and usually at a bad moment. The regression suite built during implementation is what makes this affordable to run every cycle rather than a project each time.
It can, and that is a real failure mode we design against rather than dismiss. Enablement, paired working and deliberate handover of steady-state activities are part of the service, and the co-managed model exists specifically for operators who want to grow internal capability while covering the gap. We will tell you which model we think fits, including when that means recommending a smaller engagement — selling a fully managed service to an operator who actually wants internal ownership produces an unhappy client in year two.
The subject matter, and therefore the people. Order fallout is not a defect queue: triaging it needs someone who understands order decomposition, orchestration plans and how the fulfilment systems behave when they fail. A catalog release is not a routine config change: it can alter what every channel is able to sell and what the billing platform will charge. A generalist Salesforce support desk will handle your access requests and page layouts perfectly well, and will route the telecom-specific incidents — which are the expensive ones — to somebody else.
That is a planned transition, and the co-managed model is usually the route to it. Runbooks, documentation and the knowledge base are maintained as service deliverables rather than as internal notes, so they transfer. We hand back steady-state activities in stages as your team's capability grows, with paired working through each transition, and the agreement shrinks to match. We would rather run a smaller engagement for a long time than a large one that ends in a difficult separation.
A support conversation starts with your incident history, your change backlog and your release calendar. We will propose a model, a capacity split and the targets worth committing to — sized to your platform rather than to a template.
Speak with a team that reports the trend, not the ticket count