Buy a packaged assistant
Consider this when its supported workflow, interface and connectors meet your needs. Test it with representative tasks before committing. Your team still owns configuration, data access and acceptance criteria.
A decision guide for SaaS teams · September 17, 2026
Build or buy
your AI assistant?
Start with the task your customer needs to finish. Then decide how much of that task an existing product can handle, and what your team needs to own.
Buying can be a good choice for a standard workflow. Custom integration becomes worth examining when the assistant must respect your product’s access rules, use its live data or carry out its actions.
Three paths, with different responsibilities.
Build a custom integration
Consider this when product-specific permissions, actions or user experience are essential. You gain control over those decisions and take on implementation, evaluation, maintenance and incident response.
Combine the two
Use managed models or other components while building the parts specific to your product. “Build” rarely means training a model from scratch. Evaluate the boundaries and responsibilities of each component.
Five questions that change the decision.
1. Can it enforce your existing permissions?
Test two users with different roles and two separate tenants. Check both retrieved answers and tool calls. Access controls should be enforced by your application or services, rather than relying on a prompt to hide restricted information. A connector’s existence does not prove it matches your access model.
2. Does the task end with an answer or an action?
Answering a documentation question and changing a customer record have different requirements. For actions, test allowed inputs, approval steps, duplicate requests, failures and audit records. If a packaged product cannot safely perform the required action, consider a narrower scope or custom integration.
3. How will you know it works?
Prepare representative tasks with expected outcomes, including missing data, denied access and ambiguous requests. Compare each approach on the same examples. Define unacceptable failures before the demonstration, and include a way to hand the task back to a person.
4. What is the complete cost?
Compare setup, integration, subscription or model usage, supporting infrastructure, evaluation, monitoring and maintenance over the same period. Include your team’s time. Check current vendor limits and contract terms before deciding; a low per-message price does not include every cost.
The calculator’s worked example separates implementation from monthly operations. Its assumptions are editable estimates, not a quote or a vendor comparison.
5. Who owns changes and the exit plan?
Name the person or team responsible for model changes, broken connectors, changing permissions and support. Check whether you can export the information you need, replace components and keep the workflow running. Compare those obligations with the capacity your team actually has.
Illustrative example · not a client case study
One product.
Two different decisions.
“How do I export a report?”
If the answer comes from public documentation and an existing assistant can cite the right instructions, a packaged option may meet the requirement. Verify answer quality and handoff.
“Reassign these overdue tasks.”
This requires current project data, role checks, allowed changes, approval and safe execution. Test whether a packaged option can meet every boundary. If it cannot, scope a custom integration around that specific workflow.
Run a bounded comparison.
- Write down one workflow and the outcome the user needs.
- Choose representative examples, including failure and permission cases.
- Try a suitable packaged option and outline the smallest custom implementation.
- Compare observed behavior, full costs and ownership using the same assumptions.
- Choose the smallest approach that meets the requirements, or postpone the feature if neither does.
A prototype demonstrates possibilities. Production acceptance also needs access controls, evaluation and operational ownership.
Compare one workflow, three ways.
Use the same users, task and expected outcome for every option. Enter observations from a trial or quote; leave unknowns open. Notes remain in this page until you download them and are not saved for a later visit. Avoid confidential details.
Need a cost breakdown? Build an implementation estimate. Need a way to inspect retrieval and evaluation? Walk through the RAG labs.
Need help scoping the custom path?
COGNI.BUILD helps teams add AI assistants to existing products. Bring one workflow and the constraints it must respect.
Discuss your workflow