Put artificial intelligence to work for more capable, more effective and better equipped public institutions

Institutional capabilities

BEXTIO

BEXTIO AI FOR PUBLIC INSTITUTIONS — CAPABILITY

STATEMENT V1.0 Build practical, governed and measurable AI capability in public institutions

MISSION Help public institutions adopt artificial intelligence in a useful, progressive, secure and measurable way — by strengthening human capability, institutional knowledge and priority processes first.

WHO WE SUPPORT

MINISTRIES & ADMINISTRATIONS — Executive offices, directorates, operational departments, support functions and decentralized services.

LEGISLATIVE & PUBLIC INSTITUTIONS — Legislative bodies, administrative authorities, oversight institutions and public organizations.

LOCAL AUTHORITIES & PUBLIC ENTITIES — Territorial authorities, agencies, offices, universities, public establishments and state-owned entities.

MODERNIZATION PROGRAMMES — Digital transformation, administrative reform, public-service improvement and capability-building initiatives.

THE PROBLEM TO SOLVE

Institutional knowledge is scattered across legislation, procedures, reports, archives, correspondence and disconnected tools.

Managers and employees spend significant time searching, summarizing, drafting, checking and coordinating information.

Ungoverned AI use can create confidentiality, accuracy, opacity and vendor-dependency risks.

AI projects underperform when they begin with technology rather than a specific public-sector problem, clear governance and measurable indicators.

BEXTIO PRINCIPLE: start small, on a priority use case, with authorized data, human validation and before/after measurement.

CAPABILITIES — Train • Equip • Augment Training for decision-makers and public employees Senior leaders: understand AI capabilities and limitations; prioritize use cases; arbitrate data, risk, vendor and governance questions; sponsor measurable pilots.

Employees and operational teams: use AI for authorized search, summarization, drafting and structuring tasks;

verify outputs; protect data; integrate AI into real workflows.

Institutional AI use cases

Briefs and summaries — case files, meeting preparation, action extraction and document comparison.

Document search — semantic retrieval in authorized corpora of procedures, reports, policies, legislation and archives.

Correspondence and writing support — drafts, standard responses, reformulation and summaries with human approval.

Case-file management — classification, information extraction, completeness checks and routing.

Public-service support — first-level information and guidance grounded in approved institutional sources with escalation.

Programme management — progress summaries, action plans, risk registers and periodic reporting.

INSTITUTIONAL KNOWLEDGE BASE / ASSISTANT BEXTIO structures an authorized institutional corpus, applies access rules, enables search and source-grounded answers, and can support specialized assistants for defined roles or processes. The objective is not to connect an uncontrolled general-purpose chatbot to all institutional documents.

Examples: executive-office assistant • internal-procedure assistant • HR assistant • programme assistant • public-service assistant • research/archive assistant.

GOVERNANCE, SECURITY & PILOTING

Authorized data — begin with an approved and minimized corpus.

Role-based access — separate sensitive spaces and non-shareable content.

Source traceability — answers should reference identifiable sources when the use case requires it.

Human-in-the-loop — human approval for decisions, commitments, official acts and impactful external communications.

Logging and evaluation — track use, errors, corrections, incidents and feedback; test before expansion.

Retention rules — define storage, deletion, export, vendor and technical-environment requirements.

30–90 DAY PILOT METHOD Period Objective Key deliverables

Day 0–15 Scope Priority use case • sponsor • users

authorized corpus • risks • baseline • success criteria

Day 15–30 Build Prototype • knowledge base/assistant configuration • access rules • test set • initial training

Day 31–60 Pilot Controlled use • metrics • corrections • documentation • user support

Day 61–90 Evaluate & decide Before/after measurement • risk review • recommendations • scale, redesign or stop decision

MEASURING IMPACT

Time & flow — search, preparation and process-cycle time.

Quality — correctness on tested cases, source-grounding rate, correction rate.

Adoption — trained and active users, frequency, satisfaction.

Service — response time, volume handled, correct routing where relevant.

Governance — incidents, access-rule violations, human validation and data-rule compliance.

Knowledge — corpus coverage, successful retrieval and obsolete-document detection.

ENTRY POINTS FOR A FIRST ENGAGEMENT

Institutional knowledge base — centralize a priority corpus and enable source-grounded search for one department or programme.

Business-process productivity assistant — augment one or two recurring workflows such as reporting, drafting or meeting preparation.

AI training + governance — train leaders and staff, define acceptable-use rules, registers and authorization processes.

Public-service assistant — controlled first-level assistance grounded in validated knowledge with human escalation.

NEXT STEP BEXTIO — Augmented Enterprise Abidjan, Côte d’Ivoire • bextio.ci • direction@bextio.ci Capability statement — non-contractual. Any engagement is subject to the administrative, legal, security and procurement requirements applicable to the institution concerned.