Compliance AI Agent Development
FISTA Solutions builds compliance AI agents that keep evidence current instead of scrambling before audits: collecting and mapping evidence to controls, drafting questionnaire responses from approved documentation, answering policy questions with citations, and flagging gaps while there is still time to fix them.
- 150+
- projects delivered
- 50+
- companies served
- 99.9%
- verified uptime
- 47%
- efficiency gains
- 12+
- countries reached
What we build
What does a compliance AI agent do?
Compliance agents collect evidence from source systems on a schedule, map it to control requirements across frameworks, draft questionnaire and audit responses from approved documentation with citations, answer staff policy questions, and flag control gaps before an audit window.
- 01
Evidence collection agent
Pulls evidence from source systems on schedule with hashes and timestamps, storing it immutably.
Evidence - 02
Control mapping agent
Maps evidence to control requirements across frameworks, showing coverage and overlap.
Mapping - 03
Questionnaire response agent
Drafts answers from approved documentation with citations for reviewer approval before submission.
Assurance - 04
Policy answering agent
Answers staff questions from current approved policy with citations to the governing clause.
Internal - 05
Gap detection agent
Flags missing, stale, or failing evidence ahead of audit windows with remediation owners identified.
Readiness
Requirements
What guardrails does a compliance agent need?
Compliance agents produce material that auditors and customers rely on, so guardrails cover attestation, evidence integrity, and citation: humans attest to submissions, evidence is immutable and timestamped, and every drafted answer cites approved documentation.
| Guardrail | Why it matters | How FISTA implements it |
|---|---|---|
| Human attestation | Someone must stand behind a compliance claim. | Human review and attestation on every external submission, with attester recorded and the agent's role disclosed internally. |
| Evidence integrity | Evidence must be unaltered and dated. | Append-only storage with hashing, timestamps, and chain-of-custody metadata retained per artifact. |
| Citation to source | Answers must reflect actual policy, not plausible policy. | Drafts cite the approved document and clause, and abstain where no approved source covers the question. |
| Framework fidelity | Control language differs between frameworks. | Framework-specific mappings maintained as data, with overlap shown rather than assumed. |
| Change awareness | Policies and controls change. | Version tracking with alerts when cited documents change, so previously drafted answers are revisited. |
Where AI fits
Where should a compliance agent start?
Start with evidence collection and mapping. It is continuous, mechanical work that consumes compliance teams, and automating it produces immediate audit readiness without any external submission risk.
- 01
1. Automate evidence collection
Scheduled, hashed, timestamped evidence beats a pre-audit scramble every time.
- 02
2. Map to controls
Coverage and overlap across frameworks become visible rather than assumed.
- 03
3. Detect gaps early
Missing or stale evidence surfaces with an owner while there is time to fix it.
- 04
4. Draft questionnaires
Cited drafts from approved documentation, reviewed and attested by a human.
- 05
5. Answer policy questions
Staff get current answers with clause citations instead of guessing or asking around.
Cost and timeline
How much does a compliance agent cost, and how long does it take?
Cost is driven by source system count and framework coverage; timeline by access approvals to evidence sources. FISTA does not quote blind: the scoping call returns an agent design, an evidence map, and a phased estimate.
Source system access is the schedule. Each system holding evidence needs read credentials and a collection path, and those approvals are usually the long pole rather than the engineering.
Framework coverage is scoped deliberately. Mapping to two frameworks well is more useful than mapping to six superficially, and overlap is shown so duplicated effort disappears.
Send the scope you have, even if it is a paragraph. You get a written brief, an architecture sketch, and a phased estimate before any commitment.
Get a scoped quoteDelivery
How does FISTA deliver an AI agent into production?
FISTA delivers agents in four gated phases: a discovery sprint that picks the workflow and writes the agent specification, a design that names tools, permissions, and approval points, a build with an evaluation harness and shadow runs on real work, and a production release with traces, dashboards, and rollback.
- 1
Select and specify
Choose the workflow with a measurable outcome, map its systems and edge cases, and write the agent spec with success metrics.
OutputAgent specification, golden test set
- 2
Design the guardrails
Tool inventory with least-privilege scopes, approval gates, escalation paths, data handling, and the evaluation plan.
OutputTool and permission matrix
- 3
Build and shadow-run
Implement tools as MCP servers or connectors, iterate against the evaluation harness, and run in shadow mode on live inputs.
OutputShadow-mode results, eval scores
- 4
Release and observe
Graduated rollout, full traces, cost and quality dashboards, on-call runbook, and a change process that re-runs the evals.
OutputProduction agent with SLOs
Why FISTA
Why build your compliance agent with FISTA Solutions?
FISTA builds compliance agents that keep evidence continuously current, cite approved sources, and leave attestation with people. Work is contracted through a US entity with full IP assignment.
Compliance Agents specifics
- Evidence is collected on schedule and stored immutably with hashes, timestamps, and chain-of-custody metadata.
- Drafted answers cite the approved document and clause, and abstain where no approved source exists.
- Every external submission is attested by a human, with the attester recorded.
- Cited documents are version-tracked, so changes trigger review of previously drafted answers.
How FISTA engineers
- Spec-Driven Development: every deliverable starts as a written specification with acceptance criteria, so scope is testable before it is built.
- AI-native delivery: engineers direct coding agents under review gates and evaluation harnesses, compressing build time without loosening verification.
- Official Anthropic partner, with production experience across Claude, OpenAI, Google, and open-weight models, chosen per workload rather than by default.
- One accountable delivery lead, weekly demos on your environment, and code in your repositories from week one.
What you get as a client
- 150+ projects delivered for 50+ companies across 12+ countries since 2017, with 99.9% verified uptime on systems we operate.
- A US entity (FISTA Solutions Inc., Wilmington, Delaware) for contracting, invoicing, and IP assignment, with an engineering center in Faisalabad, Pakistan for cost-efficient senior capacity.
- US business-hours overlap for standups and reviews; written decision logs so nothing depends on a meeting you missed.
- Flexible engagement: fixed-scope build, embedded forward deployed engineers, or a dedicated team that you can scale month to month.
Clear answers
What teams ask before deploying agents.
Straightforward guidance for evaluating scope, fit, and the next step.
01Can an agent complete our security questionnaires?
It drafts answers from approved documentation with citations, and a human reviews and attests before submission. Given questionnaire volume in enterprise sales, drafting is usually where most of the time goes.
02Is automated evidence acceptable to auditors?
Automated collection is common and generally welcomed when evidence is immutable, timestamped, and traceable to its source system. FISTA recommends walking the approach through with your auditors early.
03Which frameworks do you support?
Mappings are maintained as data, so SOC 2, ISO 27001, NIST, and customer-specific control sets can be supported. Coverage is scoped deliberately, because depth in the frameworks you are assessed against beats superficial breadth.
04What if our policies are out of date?
The agent will show you, because it cites what exists and abstains where nothing does. Gap reporting usually produces a prioritized policy backlog as a by-product.
05How long until it helps?
Evidence collection and mapping typically show value within weeks once source access exists; questionnaire drafting follows the documentation review.
Scoped in writing before you commit
Be audit-ready on a Tuesday, not just before the audit.
Bring your frameworks and evidence sources. The scoping call returns an agent design, an evidence map, and a phased estimate.