Common Questions

We don't replace your incumbent feature-for-feature; we replace the 20% of features your team actually uses, which drive 80% of the value. Most enterprise SaaS feature depth exists to justify the price to the median customer. Your custom system is designed for your workflows, not the median. And AI agents can do things vendor platforms fundamentally cannot.

A discovery workshop surfaces exactly which capabilities matter. We build those, built well, not 2,000 features no one uses.

That's exactly why we built DECON the way we did. The three reasons enterprise migrations fail: data quality worse than expected, integration complexity underestimated, and organizational resistance. Our Assessment phase exists specifically to surface all three before we commit to a build. If the engagement isn't winnable, we'll tell you.

The SaaS Escape Assessment is a low-commitment way to find out if migration is viable before committing to the full engagement.

Good news — that gives us time to build the replacement right, without pressure. We can start with the Assessment now, begin building non-critical modules, and be ready to cut over the moment the contract allows. The 3-year runway is actually ideal for a methodical, well-tested migration.

Start now, migrate on contract expiry. The planning and building phase fits the 3-year window perfectly.

We do. Future Industries builds, hosts, and operates every system we deliver, under a Managed Service Agreement: a multi-year contract covering infrastructure operations, security, compliance maintenance, incident response, and continuous development at a 5-day-max change cadence. We built the system, we run it, we secure it, and we evolve it on your direction.

Your data is contractually yours, in industry-standard formats, accessible to you in real time, and exportable in full on demand. The default deployment runs in our managed environment with full audit visibility for your team; an optional regulated/enterprise tier deploys into your own cloud account with us connecting in. Either way, the switching cost away from us is a fraction of what it costs to leave a vendor SaaS, by design.

We agree, which is why our methodology has no bet-the-business cutover. The incremental migration pattern means your incumbent platform keeps running throughout the transition. You only cancel the subscription when the new system has been live and trusted for months.

Parallel running period. Phased cutover (10% to 25% to 100%). Rollback authority defined upfront with explicit triggers. Financial-services-grade cutover protocol. Fallback to the incumbent is always available until the contract is cancelled.

Correct, which is why we don't touch it until the replacement is live and validated. The incremental migration approach means your incumbent platform remains fully operational throughout the transition. We build alongside it, not instead of it. The moment any custom module goes live, it's been running in parallel for weeks already.

Dual-write parallel running. No single cutover event. Rollback always available.

Per IDC's published ecosystem analysis, the Salesforce partner ecosystem earns $6.19 in services revenue for every $1 of Salesforce's own license revenue. The structural read: a firm whose revenue depends on platform complexity is not the firm that will recommend simplifying it. We are positioned the other way around. Our financial incentive is a successful migration off the platform, not perpetual engagement on it.

Our methodology is designed around the failure modes typical of how large SI firms approach these projects: scope creep, underestimated data-quality issues, organizational resistance. We only take engagements we assess as winnable. That qualification gate is core to our model.

It isn't — without the right methodology. That's exactly why our discipline operates at the merge boundary, not the keyboard boundary. Generation is fast and exploratory; what reaches production is uncompromising. Specifications and code mature together, both reviewed before either reaches production. Every merge runs through Argus by default, anchored by spec, critique by a different model, Architect Review (cryptographically signed and bound to the commit), SAST, SCA, DAST, tests, and docs. Hard CI/CD blocks, not suggestions.

The AI makes us faster. The engineering discipline makes it production quality.

Integration complexity is one of the three primary reasons migrations fail — which is why our Assessment phase produces a full integration inventory with complexity scoring before we commit to a build.

During migration we use the Anti-Corruption Layer (ACL) pattern: a translation boundary between your new system and external systems that decouples your domain model from third-party APIs. Combined with incremental, module-by-module migration, this means integrations are migrated one at a time, with the old connection remaining live until the new one is validated.

We use a Change Data Capture (CDC)-based approach for migration, which eliminates the delta sync problem — the issue where data grows faster than the migration can keep up. Data is extracted to a staging environment, validated through five layers of checks (schema, referential integrity, business rule, statistical distribution, and user acceptance), and promoted to production only after validation passes.

Your data is contractually yours, in industry-standard formats, accessible to you in real time, and exportable in full on demand. We are extracting it from vendor lock-in and putting it where it cannot be held hostage.

Because an agent on top of Salesforce is constrained by everything Salesforce constrains. It can only see Salesforce data, not your ERP, your support tickets, your contracts, or your documents. It caps at 15 topics and 15 actions per topic. It hits governor limits. And the pricing reflects the retrofit architecture: the Agentforce 1 seat upgrade is $550/user/month (on top of the $175/user/month Enterprise you already pay), plus Data Cloud as required agent infrastructure at $65K–$175K/year, plus conversation fees at $2/conversation on Standard+ or $0.10/action on Flex Credits, plus credit consumption that scales with usage.

Putting an agent on top of vendor SaaS is like hiring a brilliant assistant and telling them they can only use one filing cabinet, during business hours, 100 times per day. Our systems are agent-native; the agent reads across your full operational data (CRM, ERP, support records, documents, warehouse), has no topic ceiling, no governor limits, no per-conversation metering. The MSA covers the inference posture, including a fully-isolated local-only option for the most regulated environments.

Vendor AI products are built as add-ons to existing platforms, and they're priced that way — seat upgrades, required infrastructure, and per-interaction fees stacked on top of existing subscriptions. That structure is a consequence of the architecture: retrofitting AI onto platforms designed before large language models existed requires separate layers, and separate layers require separate billing.

In a purpose-built agent-native system, the agent is the architecture, not an add-on. No required seat upgrade, no additional infrastructure layer, no per-interaction metering. The cost of running agents is the cost of compute.

We've seen this before. The reframe that tends to work: position the VP of Sales as the product owner of the new system, not a stakeholder being asked to give something up. The new system is built to their workflows, not the vendor's generic sales model. They get exactly the features they actually use, plus AI capabilities the vendor can't deliver, with no seat-count negotiation every year.

We also use stakeholder mapping, understanding who the informal decision-makers are and who's financially aligned with the status quo, as part of our engagement methodology.

A full platform replacement is a 2–5 year program for a large enterprise. But that's not how we approach it. We migrate module by module, and each module takes 8–16 weeks to build and deploy to production.

First value is delivered quickly: the Assessment takes 2–3 weeks and gives you a go/no-go recommendation with full cost visibility. The first module migration — typically CRM Core or a high-cost, low-complexity module — is often live within 6 months of Assessment kickoff. At that point you're already saving money and have proof the approach works before committing to the full program.